Abbass,
H. A.
Emergence
of Communication in Competitive Multi-Agent Systems: A Pareto Multi-Objective
Approach (Page 51)
Sub-Structural
Niching in Estimation of Distribution Algorithms
(Page 671)
Fitness
Inheritance For Noisy Evolutionary Multi-Objective Optimization (Page 779)
Diversity
As a Selection Pressure in Dynamic Environments
(Page 1557)
DXCS:
an XCS System For Distributed Data Mining (Page
1883)
Abdel-Hamid,
M.
Particle
Swarm Optimization for Analysis of Mass Spectral Serum Profiles
(Page 431)
Adeodato,
P. J. L.
A
New Evolutionary Method for Time Series Forecasting (Page
2221)
Adra,
S. F.
Hybrid
Multiobjective Genetic Algorithm with a New Adaptive Local Search Process
(Page 1009)
Affenzeller,
M.
Goal-Oriented
Preservation of Essential Genetic Information by Offspring Selection
(Page 1595)
Agogino,
A.
(Return
to Top)
Coordinating
Multi-Rover Systems: Evaluation Functions for Dynamic and Noisy Environments (Page 591)
Efficient
Credit Assignment through Evaluation Function Decomposition
(Page 1309)
Aguilar-Ruiz,
J. S.
GA-based
Approach to Discover Meaningful Biclusters (Page
473)
Feature
Influence for Evolutionary Learning (Page 1139)
Ahn,
C. W.
On
the Practical Genetic Algorithms (Page 1583)
Ahrens,
B.
Genetic
Algorithm Optimization of Superresolution Parameters (Page
2083)
Alba,
E.
Advanced
Models of Cellular Genetic Algorithms Evaluated on SAT (Page
1123)
Alfonso,
H.
Advanced
Models of Cellular Genetic Algorithms Evaluated on SAT (Page
1123)
Ali,
M. I.
(Return
to Top)
Comparative
Evaluation of Parallelization Strategies for Evolutionary and Stochastic
Heuristics (Page 921)
Alim,
F.
Heuristic
Rules Embedded Genetic Algorithm to Solve In-Core Fuel Management Optimization
Problem (Page 2191)
Al-Sakran,
S. H.
Automated
Re-Invention of Six Patented Optical Lens Systems using Genetic Programming
(Page 1953)
Amor,
H. B.
Intelligent
Exploration for Genetic Algorithms Using Self-Organizing Maps in Evolutionary
Computation (Page 1531)
Ando,
S.
Adaptive
Isolation Model using Data Clustering for Multimodal
Function Optimization (Page 1417)
Fitness-based
Neighbor Selection for Multimodal Function Optimization (Page
1573)
Antolík,
J.
(Return
to Top)
Evolutionary
Tree Genetic Programming (Page 1789)
Antoniol,
G.
Improving
Network Applications Security: a New Heuristic to Generate Stress Testing
Data (Page 1037)
Arciszewski,
T.
Parameterized
versus Generative Representations in Structural Design: An Empirical Comparison
(Page 2007)
Arima,
T.
Three
Dimensional Evolutionary Aerodynamic Design Optimization with CMA-ES (Page 2173)
Evolutionary
Models for Maternal Effects in Simulated Developmental Systems
(Page 149)
Ashburn,
T.
Interactive
Estimation of Agent-Based Financial Markets Models: Modularity and Learning
(Page 1897)
Ashlock,
D.
(Return
to Top)
A
Study of Evolutionary Robustness in Stochastically Tiled Polyominos (Page 19)
The
Impact of Cullular Representation on Finite State Agents for Prisoner's
Dilemma (Page 59)
Auger,
A.
Local
and Global Order 3/2 Convergence of a Surrogate Evolutionary Algorithm
(Page 857)
Aute,
V.
A
Multi-Objective Genetic Algorithm for Robust Design Optimization
(Page 771)
Auwatanamongkol,
S.
Inexact
Pattern Matching using Genetic Algorithm (Page 1567)
Azad,
R. M. A.
Evaluating
GP Schema in Context (Page 1773)
Azarm,
S.
A
Multi-Objective Genetic Algorithm for Robust Design Optimization
(Page 771)
Babovic,
V.
Determining
Equations for Vegetation Induced Resistance using Genetic Programming
(Page 1999)
Bacardit,
J.
Analysis
of the Initialization Stage of a Pittsburgh Approach Learning Classifier
System (Page 1843)
Bäck,
T.
(Return
to Top)
Using
a Genetic Algorithm to Evolve Behavior in Multi
Dimensional Cellular Automata: Emergence of Behavior (Page 107)
Niching
in Evolution Strategies (Page 915)
The
Molecule Evoluator: an Interactive Evolutionary Algorithm for Designing
Drug Molecules (Page 1969)
Banzhaf,
W.
Total
Synthesis of Algorithmic Chemistries (Page 1635)
Baptist,
M.
Determining
Equations for Vegetation Induced Resistance using Genetic Programming
(Page 1999)
Barajas,
S. E.
ARGEN
+ AREPO: Mixing the Artificial Genetic Engineering and Artificial Evolution
of Populations to Improve the Search Process (Page 1597)
Barbosa,
H. J. C.
(Return
to Top)
A
Genetic Algorithm Encoding for a Class of Cardinality Constraints
(Page 1193)
Barone,
L.
Map-labelling
with a Multi-objective Evolutionary Algorithm (Page 1937)
Barry,
A. M.
XCS
with Eligibility Traces (Page 1851)
Bassett,
J. K.
Applying
Price's Equation to Survival Selection (Page 1371)
Bauer,
M.
Search-based
Improvement of Subsystem Decompositions (Page 1045)
Becerra,
R. L.
Optimization
with Constraints using a Cultured Differential Evolution Approach
(Page 27)
Bednar,
J.
(Return
to Top)
Constructing
Good Learners using Evolved Pattern Generators (Page 11)
Bello,
R.
A
Model Based on Ant Colony System and Rough Set Theory to Feature Selection
(Page 275)
Bentley,
P. J.
Bias
and Scalability in Evolutionary Development (Page
83)
Evolving
Visually Guided Agents in an Ambiguous Virtual World (Page
115)
Berntsson,
J.
Adaptive
Sizing of Populations and Number of Islands in Distributed Genetic Algorithms (Page 1575)
Dynamic
Optimization of Migration Topology in Internet-based Distributed Genetic
Algorithms (Page 1579)
Bersini,
H.
Intrinsic
Emergence Boosts Adaptive Capacity (Page 559)
Besetti,
S.
(Return
to Top)
Function
Choice, Resiliency and Growth in Genetic Programming (Page
1771)
Beveridge,
J. R.
Evolving
Cooperative Strategies for UAV Teams (Page 1721)
Bhanu,
B.
Hierarchical
Multi-sensor Image Registration Using Evolutionary Computation
(Page 2045)
Biehl,
M.
Search-based
Improvement of Subsystem Decompositions (Page 1045)
Bieniawski,
S.
A
Comparative Study of Probability Collectives Based Multi-agent Systems
and Genetic Algorithms (Page 751)
Billinge,
S.
Conformation
of an Ideal Bucky Ball Molecule by Genetic Algorithm and Geometric Constraint
from Pair Distance Data (Page 1565)
Boddhu,
S. K.
(Return
to Top)
Evolving
Analog Controllers for Correcting Thermoacoustic
Instability in Real Hardware (Page 933)
Bonabeau,
E.
Interactive
Estimation of Agent-Based Financial Markets Models: Modularity and Learning (Page 1897)
Evolving
Computer Intrusion Scripts for Vulnerability Assessment and Log Analysis
(Page 1905)
Bongard,
J. C.
'Managed
Challenge' Alleviates Disengagement in Co-evolutionary System Identification (Page 531)
Borenstein,
Y.
Information
Landscapes and Problem Hardness (Page 1425)
Information
Landscapes (Page 1515)
Borgulya,
I.
(Return
to Top)
A
Hybrid Evolutionary Algorithm for the p-Median Problem (Page
649)
Bosman,
P. A. N.
Exploiting
Gradient Information in Numerical Multi-Objective Evolutionary Optimization
(Page 755)
Botello-Rionda,
S.
Multiobjective
Shape Optimization with Constraints based on Estimation Distribution Algorithms
and Correlated Information (Page 749)
Brabazon,
A.
Agent-Based
Modelling of Product Invention (Page 129)
meta-Grammar
Constant Creation with Grammatical Evolution by Grammatical Evolution
(Page 1665)
Bradstreet,
L.
Map-labelling
with a Multi-objective Evolutionary Algorithm (Page 1937)
Branke,
J.
(Return
to Top)
Towards
an Analysis of Dynamic Environments (Page 1433)
Diversity
As a Selection Pressure in Dynamic Environments (Page 1557)
Bredeche,
N.
A
Statistical Learning Theory Approach of Bloat (Page 1783)
Breukelaar,
R.
Using
a Genetic Algorithm to Evolve Behavior in Multi Dimensional Cellular Automata:
Emergence of Behavior (Page 107)
Briand,
L. C.
Stress
Testing Real-Time Systems with Genetic Algorithms (Page
1021)
Brown,
D.
Using
a Markov Network Model in a Univariate EDA: An Empirical Cost-Benefit
Analysis (Page 727)
Browne,
W.
An
Abstraction Algorithm for Genetics-based Reinforcement Learning
(Page 1875)
Bucci,
A.
(Return
to Top)
On
Identifying Global Optima in Cooperative Coevolution (Page
539)
Budynek,
J.
Evolving
Computer Intrusion Scripts for Vulnerability Assessment and Log Analysis
(Page 1905)
Bui,
L. T.
Fitness
Inheritance For Noisy Evolutionary Multi-Objective Optimization (Page 779)
Diversity
As a Selection Pressure in Dynamic Environments (Page 1557)
Bui,
T. N.
Solving
Geometric TSP with Ants (Page 271)
An
Efficient Genetic Algorithm for Predicting Protein Tertiary Structures
in the 2D HP Model (Page 385)
Bulitko,
V.
GAMM:
Genetic Algorithms with Meta-Models for Vision (Page 2029)
Büning,
H. K.
A
Mutation Operator for Evolution Strategies to Handle Constrained Problems
(Page 917)
Burt,
G. M.
A
Case Study of Process Facility Optimization using Discrete Event Simulation
and Genetic Algorithm (Page 2197)
Butz,
M. V.
Extracted
Global Structure Makes Local Building Block Processing Effective in XCS (Page 655)
Kernel-based,
Ellipsoidal Conditions in the Real-Valued XCS Classifier System
(Page 1835)
Byom,
M.
(Return
to Top)
Probing
for Limits to Building Block Mixing with a Tunably-Difficult Problem for
Genetic Programming (Page 1713) (Page 1713)
Parameter
Sweeps for Exploring GP Parameters (Page 1791)
Caballero,
Y.
A
Model Based on Ant Colony System and Rough Set Theory to Feature Selection
(Page 275)
Cabido,
R.
A
Low-Level Hybridization between Memetic Algorithm and VNS for the Max-Cut
Problem (Page 999)
Cairns,
B.
Maximally
Rugged NK Landscapes Contain the Highest Peaks (Page 579)
Cairns,
D. E.
Evolving
an Improved Axial Structure for Fibrillar Collagen (Page
471)
Cameron,
G. J.
Evolving
an Improved Axial Structure for Fibrillar Collagen (Page
471)
Canfora,
G.
(Return
to Top)
An
Approach for QoS-aware Service Composition based
on Genetic Algorithms (Page 1069)
Canterbury,
S.
Minimizing
Total Flowtime and Maximum Earliness on a Single Machine Using Multiple
Measures of Fitness (Page 803)
Carter,
E.
Optimization
of Passenger Car Design for the Mitigation of Pedestrian Head Injury Using
a Genetic Algorithm (Page 2113)
Carter,
J. N.
A
Genetic Algorithm Approach to the Selection of Near-Optimal Subsets from
Large Sets (Page 2203)
Castillo,
F. A.
Symbolic
Regression in Multicollinearity Problems (Page 2207)
Cavill,
R.
(Return
to Top)
Multi-Chromosomal
Genetic Programming (Page 1753)
Cazangi,
R. R.
Autonomous
Navigation System Applied to Collective Robotics with Ant-Inspired Communication
(Page 121)
Cedeño,
W.
The
Enhanced Evolutionary Tabu Search and Its Application to the Quadratic
Assignment Problem (Page 975)
Chakraborty,
U. K.
Improving
Particle Swarm Optimization with Differentially Perturbed Velocity (Page 177)
Two
Improved Differential Evolution Schemes for Faster Global Search (Page 991)
An
Efficient Evolutionary Algorithm Applied to the Design of Two-dimensional
IIR Filters (Page 2157)
Chan,
C.-h.
Improving
EAX with Restricted 2-opt (Page 1471)
Che,
D.
(Return
to Top)
MDGA:
Motif Discovery Using A Genetic Algorithm (Page 447)
Chen,
H.-M.
MeSwarm:
Memetic Particle Swarm Optimization (Page 267)
Chen,
J.-H.
MeSwarm:
Memetic Particle Swarm Optimization (Page 267)
Quality-Time
Analysis of Multi-Objective Evolutionary Algorithms (Page
1455)
Chen,
S.
Isolating
the Benefits of Respect (Page 1601)
Cherba,
D. M.
Conformation
of an Ideal Bucky Ball Molecule by Genetic Algorithm and Geometric Constraint
from Pair Distance Data (Page 1565)
Choi,
S.-S.
(Return
to Top)
Phase
Transition in a Random NK Landscape Model (Page
1241)
Normalization
for Neural Network in Genetic Search (Page 1581)
Stock
Prediction Based on Financial Correlation (Page 2061)
Choi,
Y.-S.
Genetic
Fuzzy Discretization with Adaptive Intervals for Classification Problems
(Page 2037)
Chongstitvatana,
P.
A
Multiple Objective Evolutionary Algorithm for Multiple Sequence Alignment
(Page 477)
Chung,
H. S. H.
Adaptive
Crossover and Mutation in Genetic Algorithms Based on Clustering Technique
(Page 1577)
Chung,
Y.-K.
Artificial
Immune System for Solving Generalized Geometric Problems: a Preliminary
Results (Page 329)
Cing,
T. J.
Sufficiency
Verification of HIV-1 Pathogenesis Based on Multi-Agent Simulation
(Page 305)
Clark,
J. A.
(Return
to Top)
Search-Based
Mutation Testing for Simulink Models
(Page 1061)
Evolution
of a Human-Competitive Quantum Fourier Transform Algorithm Using Genetic
Programming (Page 1657)
Cochenour,
G.
A
Pareto Archive Evolutionary Strategy Based Radial Basis Function Neural
Network Training Algorithm for Failure Rate Prediction in Overhead Feeders
(Page 2127)
Coello
Coello, C. A.
Optimization
with Constraints using a Cultured Differential Evolution Approach (Page 27)
Promising
Infeasibility and Multiple Offspring Incorporated to Differential Evolution
for Constrained Optimization (Page 225)
Collins,
M.
Finding
Needles in Haystacks is Harder with Neutrality (Page 1613)
Colpan,
M.
Solving
Geometric TSP with Ants (Page 271)
Cong,
L.
Directional
Self-Learning of Genetic Algorithm (Page 1569)
Conrads,
T. P.
Particle
Swarm Optimization for Analysis of Mass Spectral Serum Profiles
(Page 431)
Costa,
E.
(Return
to Top)
Agent-Based
Modelling of Product Invention (Page 129)
Resource-Limited
Genetic Programming: The Dynamic Approach (Page 1673)
Crailsheim,
K.
Simulating
Swarm Intelligence in Honey Bees: Foraging in Differently Fluctuating
Environments (Page 273)
Crane,
E. F.
A
Theoretical Analysis of the HIFF Problem (Page 1153)
Crozier,
S.
MRI
Magnet Design: Search Space Analysis, EDAs and a Real-World Problem with
Significant Dependencies (Page 2141)
Cui,
Z.
A
Modified Particle Swarm Optimization Predicted by Velocity
(Page 277)
Cunha,
J. B.
Fractional
Dynamic Fitness Functions for GA-based Circuit Design (Page
1571)
Dahal,
K. P.
(Return
to Top)
A
Case Study of Process Facility Optimization using Discrete Event Simulation
and Genetic Algorithm (Page 2197)
Dai,
H.
Applying
both Positive and Negative Selection to Supervised Learning for Anomaly
Detection (Page 345)
Daida,
J. M.
Towards
Identifying Populations that Increase the Likelihood of Success in Genetic
Programming (Page 1627)
Probing
for Limits to Building Block Mixing with a Tunably-Difficult Problem for
Genetic Programming (Page 1713)
Parameter
Sweeps for Exploring GP Parameters (Page 1791)
Dam,
H. H.
(Return
to Top)
DXCS:
an XCS System For Distributed Data Mining (Page 1883)
Daoud,
M.
GATS
1.0: A Novel GA-based Scheduling Algorithm for Task Scheduling on Heterogeneous
Processor Nets (Page 2209)
Das,
S.
Improving
Particle Swarm Optimization with Differentially Perturbed Velocity (Page 177)
A
Co-evolutionary Hybrid Algorithm for Multi-Objective Optimization of Gene
Regulatory Network Models (Page 393)
Two
Improved Differential Evolution Schemes for Faster Global Search (Page 991)
A
Multi-objective Algorithm for DS-CDMA Code Design Based on the Clonal
Selection Principle (Page 2015)
Das,
S.
An
Ant Colony Algorithm for Multi-user Detection in Wireless Communication
Systems (Page 2121)
A
Pareto Archive Evolutionary Strategy Based Radial Basis Function Neural
Network Training Algorithm for Failure Rate Prediction in Overhead Feeders (Page 2127)
An
Efficient Evolutionary Algorithm Applied to the Design of Two-dimensional
IIR Filters (Page 2157)
Dasgupta,
D.
(Return
to Top)
Estimating
the Detector Coverage in a Negative Selection Algorithm (Page 281)
Genetic
Algorithms for the Sailor Assignment Problem (Page 1921)
Day,
R. O.
MOEA
Design of Robust Digital Symbol Sets (Page 2213)
de
Castro, L. N.
An
Artificial Immune Network for Multimodal Function Optimization on Dynamic
Environments (Page 289)
RABNET:
A Real-Valued Antibody Network for Data Clustering (Page
371)
de
França, F. O.
An
Artificial Immune Network for Multimodal Function Optimization on Dynamic
Environments (Page 289)
de
Jong, E.
The
MaxSolve Algorithm for Coevolution (Page 483)
Exploiting
Gradient Information in Numerical Multi-Objective Evolutionary Optimization (Page 755)
On
the Complexity of Hierarchical Problem Solving (Page 1201)
De
Jong, K.
(Return
to Top)
Understanding
Cooperative Co-evolutionary Dynamics via Simple Fitness Landscapes (Page 507)
The
Influence of Migration Sizes and Intervals on Island Models (Page 1295)
Parameterized
versus Generative Representations in Structural Design: An Empirical Comparison
(Page 2007)
Pricing
the 'Free Lunch' of Meta-Evolution (Page 1355)
Applying
Price's Equation to Survival Selection (Page 1371)
de
Silva, U. C.
On
the Stationary Distribution of GAs with Fixed Crossover Probability
(Page 1147)
de
Sousa, T. F.
Agent-Based
Modelling of Product Invention (Page 129)
De,
R. K.
A
Hardware Pipeline for Function Optimization using Genetic Algorithms
(Page 949)
DeBoni,
J.
(Return
to Top)
Hybrid
Real-Coded Mutation for Genetic Algorithms Applied to Graph Layouts
(Page 1563)
Defaweux,
A.
Transition
Models as an Incremental Approach for Problem Solving in Evolutionary
Algorithms (Page 599)
Del
Grosso, C.
Improving
Network Applications Security: a New Heuristic to Generate Stress Testing
Data (Page 1037)
Dempsey,
I.
meta-Grammar
Constant Creation with Grammatical Evolution by Grammatical Evolution
(Page 1665)
Derderian,
K.
Generating
Feasible Input Sequences for Extended Finite State Machines (EFSMs) using
Genetic Algorithms (Page 1081)
Deschênes,
A.
The
Impact of Pseudorandom Number Quality on P-RnaPredict, a Parallel
Genetic Algorithm for RNA Secondary Structure Prediction (Page
479)
Di
Chio, C.
Exploring
Extended Particle Swarms: A Genetic Programming Approach (Page
169)
Di
Penta, M.
(Return
to Top)
Improving
Network Applications Security: a New Heuristic to Generate Stress Testing
Data (Page 1037)
An
Approach for QoS-aware Service Composition based on Genetic Algorithms
(Page 1069)
Díaz,
D. S.
Introducing
a Watermarking with a Multi-Objective Genetic Algorithm (Page
2219)
Diaz-Gomez,
P. A.
Analysis
and Mathematical Justification of a Fitness Function used in an Intrusion
Detection System (Page 1591)
Ding,
L.
Some
Theoretical Results About the Computation Time of Evolutionary Algorithms
(Page 1409)
Divina,
F.
GA-based
Approach to Discover Meaningful Biclusters (Page 473)
Doom,
T. E.
GA-Facilitated
Classifier Optimization with Varying Similarity Measures (Page
1549)
Dorronsoro,
B.
Advanced
Models of Cellular Genetic Algorithms Evaluated on SAT (Page
1123)
Downing,
K. L.
The
Predictive Basis of Situated and Embodied Artificial Intelligence
(Page 43)
Droste,
S.
(Return
to Top)
Not
All Linear Functions Are Equally Difficult for the Compact Genetic Algorithm
(Page 679)
Drugowitsch,
J.
XCS
with Eligibility Traces (Page 1851)
Du,
H.
Performance
Assessment of an Artificial Immune System Multiobjective Optimizer by
Two Improved Metrics (Page 373)
An
Artificial Immune System Algorithm for CDMA Multiuser Detection over Multi-Path
Channels (Page 2105)
Duarte
Jr., E. P.
A
Comparison of Evolutionary Algorithms for System-Level Diagnosis
(Page 2053)
Duarte,
A.
A
Low-Level Hybridization between Memetic Algorithm and VNS for the Max-Cut
Problem (Page 999)
Duong,
D. V.
The
Emulation of Social Institutions as a Method of Coevolution
(Page 555)
Duxbury,
P.
Conformation
of an Ideal Bucky Ball Molecule by Genetic Algorithm and Geometric Constraint
from Pair Distance Data (Page 1565)
Ebdon,
S.
(Return
to Top)
Optimization
of Passenger Car Design for the Mitigation of Pedestrian Head Injury Using
a Genetic Algorithm (Page 2113)
Ecemis,
I.
Interactive
Estimation of Agent-Based Financial Markets Models: Modularity and Learning
(Page 1897)
Echauz,
J.
Epileptic
Seizure Detection by Means of Genetically Programmed Artificial Features
(Page 461)
Eckert,
C.
Is
Negative Selection Appropriate for Anomaly Detection? (Page
321)
Edsberg,
O.
(Return
to Top)
Discovering
Biological Motifs With Genetic Programming: Comparing linear and tree-based
representations for unaligned protein sequences (Page 401)
Eiben,
A. E.
Comparing
Multicast and Newscast Communication in Evolving Agent Societies
(Page 75)
El-Abd,
M.
Factors
Governing The Behavior of Multiple Cooperating Swarms (Page
269)
Emmerich,
M.
Counteracting
Genetic Drift and Disruptive Recombination in (µ+,λ)-EA on Multimodal
Fitness Landscapes (Page 865)
Eppstein,
M. J.
A
Hybrid Genetic Algorithm with Pattern Search for Finding Heavy Atoms in
Protein Crystals (Page 377)
Er,
M. J.
Solving
Large Scale Combinatorial Optimization Using PMA-SLS (Page
621)
Eryigit,
G.
Improvements
to Penalty-Based Evolutionary Algorithms for the Multi-Dimensional Knapsack
Problem Using a Gene-Based Adaptive Mutation Approach (Page
1257)
Esposito,
R.
(Return
to Top)
An
Approach for QoS-aware Service Composition based on Genetic Algorithms
(Page 1069)
Esquivel,
S.
Knowledge
Insertion: An Efficient Approach to Reduce Effort in Simple Genetic Algorithms
for Unrestricted Parallel Equal Machines Scheduling (Page
1587)
Essam,
D.
Fitness
Inheritance For Noisy Evolutionary Multi-Objective Optimization
(Page 779)
Evett,
M.
Preventing
Overfitting in GP with Canary Functions (Page 1779)
Faheemuddin,
M.
Multiobjective
VLSI Cell Placement using Distributed Genetic Algorithm (Page
1585)
Fang,
J.-c.
Flight
Midcourse Guidance Control Based On Genetic Algorithm (Page
1501)
Farooq,
M.
(Return
to Top)
BeeAdHoc:
An Energy Efficient Routing Algorithm for Mobile Ad Hoc Networks Inspired
by Bee Behavior (Page 153)
Fenton,
P.
A
Comparison of Messy GA and Permutation based GA for Job Shop Scheduling
(Page 1593)
Ferguson,
M. I.
Evolutionary
Computation Applied to the Tuning of MEMS Gyroscopes (Page
927)
Fernández,
F.
A
Low-Level Hybridization between Memetic Algorithm and VNS for the Max-Cut
Problem (Page 999)
Ferreira,
T. A. E.
A
New Evolutionary Method for Time Series Forecasting (Page
2221)
Ferretti,
E.
Knowledge
Insertion: An Efficient Approach to Reduce Effort in Simple Genetic Algorithms
for Unrestricted Parallel Equal Machines Scheduling (Page
1587)
Ficici,
S. G.
(Return
to Top)
Monotonic
Solution Concepts in Coevolution (Page 499)
Figueiredo,
M. F.
Autonomous
Navigation System Applied to Collective Robotics with Ant-Inspired Communication
(Page 121)
Fink,
W.
Evolutionary
Computation Applied to the Tuning of MEMS Gyroscopes (Page
927)
Firpi,
H.
Epileptic
Seizure Detection by Means of Genetically Programmed Artificial Features
(Page 461)
Fleischer,
M.
Scale
Invariant Pareto Optimality: A Meta—Formalism For Characterizing and Modeling
Cooperativity in Evolutionary Systems (Page 233)
Fleming,
P. J.
Hybrid
Multiobjective Genetic Algorithm with a New Adaptive Local Search Process
(Page 1009)
Flores-Álvarez,
E. J.
(Return
to Top)
Hyper-heuristics
and Classifier Systems for Solving 2D-Regular Cutting Stock Problems
(Page 637)
Foong,
W. K.
Ant
Colony Optimization for Power Plant Maintenance Scheduling Optimization
(Page 249)
Foreman,
N.
Preventing
Overfitting in GP with Canary Functions (Page 1779)
Funes,
P.
Intransitivity
Revisited Coevolutionary Dynamics of Numbers Games (Page
515)
Galeano,
J. C.
Discriminating
and Visualizing Anomalies Using Negative Selection and Self-Organizing
Maps (Page 297)
Galeano,
J. C.
A
Comparative Analysis of Artificial Immune Network Models (Page
361)
Galinier,
P.
(Return
to Top)
Improving
Network Applications Security: a New Heuristic
to Generate Stress Testing Data (Page 1037)
Gallagher,
J. C.
Evolving
Analog Controllers for Correcting Thermoacoustic
Instability in Real Hardware (Page 933)
Gallagher,
M.
On
the Importance of Diversity Maintenance in Estimation
of Distribution Algorithms (Page 719)
MRI
Magnet Design: Search Space Analysis, EDAs
and a Real-World Problem with Significant Dependencies (Page
2141)
Galloway,
S. J.
A
Case Study of Process Facility Optimization using Discrete
Event Simulation and Genetic Algorithm (Page 2197)
Gandhe,
A.
XCS
for Robust Automatic Target Recognition (Page 1803)
Garcia,
J.
Towards
a Self-Stopping Evolutionary Algorithm Using Coupling From The Past
(Page 615)
Garibay,
I.
(Return
to Top)
On
Favoring Positive Correlations between Form and Quality of Candidate Solutions
via the Emergence of Genomic Self-Similarity (Page 1177)
Garibay,
O.
On
Favoring Positive Correlations between Form and Quality of Candidate Solutions
via the Emergence of Genomic Self-Similarity (Page 1177)
Garrett,
D.
Genetic
Algorithms for the Sailor Assignment Problem (Page 1921)
Geard,
N.
Maximally
Rugged NK Landscapes Contain the Highest Peaks (Page 579)
Geem,
Z. W.
Harmony
Search for Structural Design (Page 651)
Gelly,
S.
A
Statistical Learning Theory Approach of Bloat (Page 1783)
Georgescu,
R.
Evolution
of Multi-Loop Controllers for Fixed Morphology with a Cyclic Genetic Algorithm
(Page 147)
Giacobini,
M.
(Return
to Top)
Takeover
Time Curves in Random and Small-World Structured Populations
(Page 1333)
Giráldez,
R.
Feature
Influence for Evolutionary Learning (Page 1139)
Goertzel,
B.
Learning
Computer Programs with the Bayesian Optimization Algorithm
(Page 747)
Goldberg,
D. E.
Extracted
Global Structure Makes Local Building Block Processing Effective in XCS
(Page 655)
Goldberg,
D. E.
Multiobjective
hBOA, Clustering, and Scalability (Page 663)
Sub-Structural
Niching in Estimation of Distribution Algorithms
(Page 671)
Combining
Competent Crossover and Mutation Operators: a Probabilistic Model Building
Approach (Page 735)
Linkage
Learning, Ovelapping Building Blocks, and Systematic Strategy for Scalable
Recombination (Page 1217)
Combating
User Fatigue in iGAs: Partial Ordering, Support Vector Machines, and Synthetic
Fitness (Page 1363)
Quality-Time
Analysis of Multi-Objective Evolutionary Algorithms (Page 1455)
Extending
XCSF Beyond Linear Approximation (Page 1827)
XCS
with Computed Prediction in Multistep Environments (Page 1859)
The
Compact Classifier System: Motivation, Analysis, and First Results(Page 1893)
Goldman,
L.
(Return
to Top)
Particle
Swarm Optimization for Analysis of Mass Spectral Serum Profiles
(Page 431)
Goldman,
R.
Particle
Swarm Optimization for Analysis of Mass Spectral Serum Profiles
(Page 431)
Gomez,
F. J.
Co-Evolving
Recurrent Neurons Learn Deep Memory POMDPs (Page
491)
Modeling
Systems with Internal State using Evolino (Page 1795)
Gómez,
Y.
A
Model Based on Ant Colony System and Rough Set Theory to Feature Selection
(Page 275)
Gong,
M.
Performance
Assessment of an Artificial Immune System Multiobjective Optimizer by
Two Improved Metrics (Page 373)
An
Artificial Immune System Algorithm for CDMA Multiuser Detection over Multi-Path
Channels (Page 2105)
Gong,
Y.
Parallel
Genetic Algorithms on Line Topology of Heterogeneous Computing Resources
(Page 1447)
González,
F. A.
(Return
to Top)
Discriminating
and Visualizing Anomalies Using Negative
Selection and Self-Organizing Maps (Page 297)
A
Comparative Analysis of Artificial Immune Network Models (Page
361)
Goodman,
E.
Epileptic
Seizure Detection by Means of Genetically
Programmed Artificial Features (Page 461)
Open-ended
Robust Design of Analog Filters Using Genetic Programming (Page 1619)
Design
of Air Pump System Using Bond Graph and Genetic Programming Method
(Page 2215)
Gordon,
T. G. W.
Bias
and Scalability in Evolutionary Development (Page 83)
Graham,
L.
Statistical
Analysis of Heuristics for Evolving Sorting Networks (Page
1265)
Grasemann,
U.
Effective
Image Compression using Evolved Wavelets (Page 1961)
Greene,
W. A.
Schema
Disruption in Tree-Structured Chromosomes (Page 1401)
Grefenstette,
J.
(Return
to Top)
The
Emulation of Social Institutions as a Method of Coevolution
(Page 555)
Griffin,
I.
Hybrid
Multiobjective Genetic Algorithm with a New Adaptive Local Search Process
(Page 1009)
Gunia,
C.
On
the Analysis of the Approximation Capability of Simple Evolutionary Algorithms
for Scheduling Problems (Page 571)
Guo,
Q.
Generating
Feasible Input Sequences for Extended Finite State Machines (EFSMs) using
Genetic Algorithms (Page 1081)
Guofang,
N.
Multi-level
Genetic Algorithm (MLGA) for the Construction of Clock Binary Tree
(Page 1441)
Gupta,
A.
Combating
User Fatigue in iGAs: Partial Ordering, Support Vector Machines, and Synthetic
Fitness (Page 1363)
Haas,
J.
(Return
to Top)
GA-Based
Parameter Tuning for Multi-Agent Systems (Page 1085)
Han,
J.
Hierarchical
Multi-sensor Image Registration Using Evolutionary Computation
(Page 2045)
Hanada,
Y.
Multi-Objective
Optimization of Diesel Engine Emissions and Fuel Economy Using SPEA2+
(Page 2195)
HandUber,
J. C.
Mission
Planning for Joint Suppression of Enemy Air Defenses Using a Genetic Algorithm
(Page 1929)
Hang,
X.
Applying
both Positive and Negative Selection to Supervised Learning for Anomaly
Detection (Page 345)
Harman,
M.
(Return
to Top)
An
Empirical Study of the Robustness of Two Module
Clustering Fitness Functions (Page 1029)
Generating
Feasible Input Sequences for Extended Finite State Machines (EFSMs) using
Genetic Algorithms (Page 1081)
Hartmann,
V.
Evolving
Agent Swarms for Clustering and Sorting (Page 217)
Hasenjäger,
M.
Three
Dimensional Evolutionary Aerodynamic Design Optimization with CMA-ES
(Page 2173)
Haubelt,
C.
Improving
EA-based Design Space Exploration by Utilizing Symbolic Feasibility Tests
(Page 1945)
Hazel,
W. N.
Using
Evolutionary Computation Methods to Support Analytical Models for the
Evolution and Maintenance of Conditional Strategies in Chthamalus
anisopoma (Page 409)
Heckendoen,
R. B.
(Return
to Top)
Using
Evolutionary Optimization to Improve Markov-based Classification with
Limited Training Data (Page 2211)
Exploiting
Disruption Aversion to Control Bloat (Page 1605)
Hendriks,
A.
The
Impact of Pseudorandom Number Quality on P-RnaPredict, a Parallel
Genetic Algorithm for RNA Secondary Structure Prediction (Page
479)
Hernández
Aguirre, A.
Constrained
Optimization via Particle Evolutionary Swarm Optimization Algorithm (PESO) (Page 209)
Multiobjective
Shape Optimization with Constraints based on Estimation Distribution Algorithms
and Correlated Information (Page 749) (Page
749)
Hernandez,
G.
Towards
a Self-Stopping Evolutionary Algorithm Using Coupling From The Past (Page 615)
Heywood,
M.
Evolving
Recurrent Models Using Linear GP (Page 1787)
(Page 1787)
Use
of a Genetic Algorithm in Brill's Transformation-Based Part-of-Speech
Tagger (Page 2067)
Hierons,
R. M.
(Return
to Top)
Generating
Feasible Input Sequences for Extended Finite State Machines (EFSMs) using
Genetic Algorithms (Page 1081)
Hijazi,
S. L.
An
Ant Colony Algorithm for Multi-user Detection in Wireless Communication
Systems (Page 2121)
Hiroyasu,
T.
Multi-Objective
Optimization of Diesel Engine Emissions and Fuel Economy Using SPEA2+
(Page 2195)
Ho,
P. Y.
Simple
Addition of Ranking Method for Constrained Optimization in Evolutionary
Algorithms (Page 889)
Ho,
S.-Y.
MeSwarm:
Memetic Particle Swarm Optimization (Page 267)
Quality-Time
Analysis of Multi-Objective Evolutionary Algorithms (Page
1455)
Hoffmann,
D.
A
Multi-Objective Evolutionary Approach to Peptide Structure Redesign and
Stabilization (Page 423)
Hohm,
T.
(Return
to Top)
A
Multi-Objective Evolutionary Approach to Peptide Structure Redesign and
Stabilization (Page 423)
Holcombe,
M.
Evolutionary
Testing of State-Based Programs (Page 1013)
Hong,
Y.
Genetic
Drift in Univariate Marginal Distribution Algorithm (Page
745)
Hopkins,
I.
A
Case Study of Process Facility Optimization using Discrete Event Simulation
and Genetic Algorithm (Page 2197)
Horn,
J.
Shape
Nesting by Coevolving Species (Page 557)
Hornby,
G. S.
Toward
Evolved Flight (Page 957)
Measuring,
Enabling and Comparing Modularity, Regularity and Hierarchy in Evolutionary
Design (Page 1729)
Horng,
J.-T.
Primer
Design for Multiplex PCR Using a Genetic Algorithm (Page
475)
Hougen,
D. F.
(Return
to Top)
Analysis
and Mathematical Justification of a Fitness Function used in an Intrusion
Detection System (Page 1591)
Hsu,
D. F.
Compact
Genetic Algorithm for Active Interval Scheduling in Hierarchical Sensor
Networks (Page 2205)
Hsu,
W. H.
Evolutionary
Tree Genetic Programming (Page 1789)
Hu,
J.
Open-ended
Robust Design of Analog Filters Using Genetic Programming (Page
1619)
Huang,
C.-F.
Tracking
Extrema in Dynamic Environments using a Coevolutionary Agent-based Model
of Genotype Edition (Page 545)
A
Comparative Study of Probability Collectives Based Multi-agent Systems
and Genetic Algorithms (Page 751)
Huang,
H.-D.
Primer
Design for Multiplex PCR Using a Genetic Algorithm (Page
475)
Huang,
H.-Y.
Primer
Design for Multiplex PCR Using a Genetic Algorithm (Page
475)
Hughes,
C. E.
(Return
to Top)
Collaborative
Interactive Evolution (Page 2199)
Hunt,
R.
Toward
Evolved Flight (Page 957)
Hutter,
M.
Fitness
Uniform Deletion: A Simple Way to Preserve Diversity (Page
1271)
Hwang,
S.-F.
MeSwarm:
Memetic Particle Swarm Optimization (Page 267)
Iba,
H.
Inference
of Gene Regulatory Networks Using S-system
and Differential Evolution (Page 439)
Extraction
of Informative Genes from Microarray Data (Page
453)
Enhancing
Differential Evolution Performance with Local Search
for High Dimensional Function Optimization (Page
967)
Probabilistic
Distribution Models for EDA-based GP (Page 1775)
Iglesias,
M. T.
(Return
to Top)
Walsh
Transforms, Balanced Sum Theorems and Partition Coefficients over Multary
Alphabets (Page 1303)
IJzerman,
A.
The
Molecule Evoluator: an Interactive Evolutionary Algorithm for Designing
Drug Molecules (Page 1969)
Isasi,
P.
Evolutionary
Rule-Based System for IPO Underpricing Prediction (Page
983)
Ishibuchi,
H.
Comparison
of Evolutionary Multiobjective Optimization
with Reference Solution-Based Single-Objective Approach (Page 787)
An
Empirical Study on the Handling of Overlapping Solutions in Evolutionary
Multiobjective Optimization (Page 817)
Ivanov,
K.
(Return
to Top)
Application
of Genetic Algorithm to Optimize Burnable Poison
Placement in Pressurized Water Reactors (Page
1477)
Heuristic
Rules Embedded Genetic Algorithm to Solve In-Core Fuel Management Optimization
Problem (Page 2191)
(Return
to Top) |
