Jackson,
D.
Parsing
and Translation of Expressions by Genetic Programming
(Page 1681)
Dormant
Program Nodes and the Efficiency of Genetic Programming (Page
1745)
Jägersküpper,
J.
(Return
to Top)
Rigorous
Runtime Analysis of a (µ+1) ES for the Sphere Function
(Page 849)
Jang,
H.-Y.
Molecular
Programming: Evolving Genetic Programs in a Test Tube (Page
1761)
Janikow,
C. Z.
CGP
Visits the Santa Fe Trail — Effects of Heuristics on GP (Page
1697)
Jansen,
T.
Theoretical
Analysis of a Mutation-Based Evolutionary Algorithm for a Tracking Problem
in the Lattice (Page 841)
Jarvis,
R. A.
From
Supervised Ranking to Evoloving Behaviours of A Robotic Team
(Page 1325)
Jeruschkat,
R.
BeeAdHoc:
An Energy Efficient Routing Algorithm for Mobile Ad Hoc Networks Inspired
by Bee Behavior (Page 153)
Ji,
Z.
Estimating
the Detector Coverage in a Negative Selection Algorithm (Page
281)
Jiao,
L.
(Return
to Top)
Performance
Assessment of an Artificial Immune System
Multiobjective Optimizer by Two Improved Metrics
(Page 373)
Directional
Self-Learning of Genetic Algorithm (Page
1569)
An
Artificial Immune System Algorithm for CDMA Multiuser Detection over Multi-Path
Channels (Page 2105)
Jisong,
K.
Multi-level
Genetic Algorithm (MLGA) for the Construction of Clock Binary Tree
(Page 1441)
Johnson,
D. D.
Sub-Structural
Niching in Estimation of Distribution Algorithms (Page
671)
Jones,
L. W.
Automated
Re-Invention of Six Patented Optical Lens Systems using Genetic Programming
(Page 1953)
Juhas,
P.
Conformation
of an Ideal Bucky Ball Molecule by Genetic Algorithm and Geometric Constraint
from Pair Distance Data (Page 1565)
Julstrom,
B. A.
The
Blob Code is Competitive with Edge-Sets in Genetic Algorithms for the
Minimum Routing Cost Spanning Tree Problem
(Page 585)
Greedy,
Genetic, and Greedy Genetic Algorithms for the Quadratic Knapsack Problem
(Page 607)
Evolving
Petri Nets to Represent Metabolic Pathways (Page 2133)
Jung,
K.
(Return
to Top)
Phase
Transition in a Random NK Landscape Model (Page 1241)
Kagdi,
H.
Hybridizing
Evolutionary Algorithms and Clustering Algorithms to Find Source-Code
Clones (Page 1079)
Kamel,
M.
Factors
Governing The Behavior of Multiple Cooperating Swarms (Page
269)
Kanno,
R.
Event-driven
Learning Classifier Systems for Online Soccer Games (Page
2201)
Kao,
C.-Y.
Improving
EAX with Restricted 2-opt (Page
1471)
Compact
Genetic Algorithm for Active Interval Scheduling in Hierarchical Sensor
Networks (Page 2205)
Kaufmann,
M.
Evolutionary
Algorithms for the Self-Organized Evolution of Networks (Page
563)
Kavka,
C.
Evolution
of Voronoi based Fuzzy Recurrent Controllers (Page 1385)
Keijzer,
M.
(Return
to Top)
The
Push3 Execution Stack and the Evolution of Control
(Page 1689)
Determining
Equations for Vegetation Induced Resistance using Genetic Programming
(Page 1999)
Kennedy,
J.
Dynamic-Probabilistic
Particle Swarms (Page 201)
Keymeulen,
D.
Evolutionary
Computation Applied to the Tuning of MEMS Gyroscopes (Page
927)
Keyser,
J.
Terrain
Generation Using Genetic Algorithms (Page 1463)
Kharma,
N.
GATS
1.0: A Novel GA-based Scheduling Algorithm for Task Scheduling on Heterogeneous
Processor Nets (Page 2209)
Kicinger,
R.
Parameterized
versus Generative Representations in Structural Design: An Empirical Comparison
(Page 2007)
Kijsirikul,
B.
Evolutionary
Strategies for Multi-Scale Radial Basis Function Kernels in Support Vector
Machines (Page 905)
Kim,
E.-Y.
(Return
to Top)
The
Impact of Cullular Representation on Finite State Agents for Prisoner's
Dilemma (Page 59)
Kim,
J. H.
Phase
Transition in a Random NK Landscape Model
(Page 1241)
Normalization
for Neural Network in Genetic Search (Page 1581)
Kim,
Y.-H.
An
Evolutionary Lagrangian Method for the 0/1 Multiple Knapsack Problem
(Page 629)
New
Topologies for Genetic Search Space (Page 1393)
Kimura,
S.
Genetic
Algorithms using Low-Discrepancy Sequences (Page 1341)
Kin,
M.-H.
Compact
Genetic Algorithm for Active Interval Scheduling in Hierarchical Sensor
Networks (Page 2205)
Klein,
J.
The
Push3 Execution Stack and the Evolution of Control (Page
1689)
Knidel,
H.
RABNET:
A Real-Valued Antibody Network for Data Clustering (Page
371)
Knight,
J. N.
(Return
to Top)
Measuring
Mobility and the Performance of Global Search Algorithms (Page
1209)
Kobayashi,
S.
Real-coded
Crossover as a Role of Kernel Density Estimation
(Page 703)
Latent
Variable Crossover for k-tablet Structures and its Application to Lens
Design Problems (Page 1347)
Adaptive
Isolation Model using Data Clustering for Multimodal Function Optimization (Page 1417)
Fitness-based
Neighbor Selection for Multimodal Function Optimization (Page
1573)
Koduru,
P.
A
Co-evolutionary Hybrid Algorithm for Multi-Objective Optimization of Gene
Regulatory Network Models (Page 393)
Kohl,
N.
Automatic
Feature Selection in Neuroevolution (Page 1225)
Neuroevolution
of an Automobile Crash Warning System (Page 1977)
Kok,
J.
The
Molecule Evoluator: an Interactive Evolutionary Algorithm for Designing
Drug Molecules (Page 1969)
Konak,
A.
Designing
Resilient Networks Using a Hybrid Genetic Algorithm Approach
(Page 1279)
Konar,
A.
(Return
to Top)
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)
Kovacs,
T.
On
the Contribution of Gene Libraries to Artificial Immune Systems
(Page 313)
Koza,
J. R.
Automated
Re-Invention of Six Patented Optical Lens Systems using Genetic Programming
(Page 1953)
Kramer,
O.
A
Mutation Operator for Evolution Strategies to Handle Constrained Problems
(Page 917)
Kurz,
M. E.
Minimizing
Total Flowtime and Maximum Earliness on a Single Machine Using Multiple
Measures of Fitness (Page 803)
Kwang,
H. H.
Sufficiency
Verification of HIV-1 Pathogenesis Based on Multi-Agent Simulation
(Page 305)
Kwon,
Y.-K.
Stock
Prediction Based on Financial Correlation (Page
2061)
Nonlinear
Feature Extraction Using a Neuro Genetic Hybrid (Page 2089)
Labiche,
Y.
(Return
to Top)
Stress
Testing Real-Time Systems with Genetic Algorithms (Page
1021)
Lakshmi,
L.
Combating
User Fatigue in iGAs: Partial Ordering, Support Vector Machines, and Synthetic
Fitness (Page 1363)
Lameijer,
E.-W.
The
Molecule Evoluator: an Interactive Evolutionary Algorithm for Designing
Drug Molecules (Page 1969)
Lammermann,
F.
Using
Evolutionary Algorithms for the Unit Testing of Object-Oriented Software (Page 1053)
Benefits
of Software Measures for Evolutionary White-Box Testing (Page
1083)
Lamont,
G. B.
An
Evolutionary Algorithm to Generate Hyper-Ellipsoid Detectors for Negative
Selection (Page 337)
A
Genetic Algorithm for Unmanned Aerial Vehicle Routing (Page 1523)
MOEA
Design of Robust Digital Symbol Sets (Page 2213)
Lampinen,
J.
A
Differential Evolution Based Incremental Training Method for RBF Networks
(Page 881)
Landau,
S.
(Return
to Top)
ATNoSFERES
revisited (Page 1867)
Langdon,
W. B.
Exploring
Extended Particle Swarms: A Genetic Programming Approach (Page 169)
Backward-chaining
Genetic Programming (Page 1777)
Lanzi,
P. L.
Extending
XCSF Beyond Linear Approximation (Page 1827)
Lanzi,
P. L.
XCS
with Computed Prediction in Multistep Environments (Page
1859)
Lasarczyk,
C. W. G.
Total
Synthesis of Algorithmic Chemistries (Page 1635)
Lee,
C.
Multiplex
PCR Primer Design for Gene Family Using Genetic Algorithm (Page
67)
Lee,
C.-K.
Compact
Genetic Algorithm for Active Interval Scheduling in Hierarchical Sensor
Networks (Page 2205)
Lee,
G.
GAMM:
Genetic Algorithms with Meta-Models for Vision (Page 2029)
Lee,
K. S.
(Return
to Top)
Harmony
Search for Structural Design (Page 651)
Lee,
R.-G.
Compact
Genetic Algorithm for Active Interval Scheduling in Hierarchical Sensor
Networks (Page 2205)
Lee,
S.-A.
Improving
EAX with Restricted 2-opt (Page 1471)
Legg,
S.
Fitness
Uniform Deletion: A Simple Way to Preserve Diversity (Page
1271)
Leggett,
J. J.
Terrain
Generation Using Genetic Algorithms (Page 1463)
Lehmann,
K. A.
Evolutionary
Algorithms for the Self-Organized Evolution of Networks (Page
563)
Leigh,
R.
Predicting
Mining Activity with Parallel Genetic Algorithms (Page
2149)
Lemonge,
A. C. C.
(Return
to Top)
A
Genetic Algorithm Encoding for a Class of Cardinality Constraints
(Page 1193)
Lenaerts,
T.
Transition
Models as an Incremental Approach for Problem Solving in Evolutionary
Algorithms (Page 599)
León-Barranco,
A.
ARGEN
+ AREPO: Mixing the Artificial Genetic Engineering and Artificial Evolution
of Populations to Improve the Search Process (Page 1597)
Levine,
S.
Application
of Genetic Algorithm to Optimize Burnable Poison Placement in Pressurized
Water Reactors (Page 1477)
Lewandowski,
G.
Genetic
Programming for Association Rules on Card Sorting Data (Page
1551)
Li,
M.
A
Multi-Objective Genetic Algorithm for Robust Design Optimization
(Page 771)
Li,
X.
Efficient
Differential Evolution using Speciation for Multimodal Function Optimization
(Page 873)
Liang,
H.-L.
(Return
to Top)
Multiplex
PCR Primer Design for Gene Family Using Genetic Algorithm (Page
67)
Lim,
C.
Production
Planning in Manufacturing/Remanufacturing Environment using Genetic Algorithm
(Page 2217)
Lim,
M. H.
Solving
Large Scale Combinatorial Optimization Using PMA-SLS (Page
621)
Lima,
C. F.
Combining
Competent Crossover and Mutation Operators: a Probabilistic Model Building
Approach (Page 735)
Lin,
F.-M.
Primer
Design for Multiplex PCR Using a Genetic Algorithm (Page
475)
Lipson,
H.
Evolutionary
Form-Finding of Tensegrity Structures (Page 3)
'Managed
Challenge' Alleviates Disengagement in Co-evolutionary System Identification
(Page 531)
Liu,
B.-F.
MeSwarm:
Memetic Particle Swarm Optimization (Page 267)
Liu,
F.
(Return
to Top)
Directional
Self-Learning of Genetic Algorithm (Page 1569)
Liu,
J.
A
Differential Evolution Based Incremental Training Method for RBF Networks
(Page 881)
Llorŕ,
X.
Extracted
Global Structure Makes Local Building Block Processing Effective in XCS (Page 655)
Combating
User Fatigue in iGAs: Partial Ordering, Support Vector Machines, and Synthetic
Fitness (Page 1363)
The
Compact Classifier System: Motivation, Analysis, and First Results
(Page 1893)
Lobo,
F. G.
Combining
Competent Crossover and Mutation Operators: a Probabilistic Model Building
Approach (Page 735)
Loffredo,
C. A.
Particle
Swarm Optimization for Analysis of Mass Spectral Serum Profiles
(Page 431)
Lohn,
J. D.
Toward
Evolved Flight (Page 957)
Loiacono,
D.
(Return
to Top)
Extending
XCSF Beyond Linear Approximation (Page 1827)
XCS
with Computed Prediction in Multistep Environments (Page
1859)
Lokan,
C.
DXCS:
an XCS System For Distributed Data Mining (Page 1883)
Looks,
M.
Learning
Computer Programs with the Bayesian Optimization Algorithm
(Page 747)
Lopez-Dee,
Z. P.
A
Co-evolutionary Hybrid Algorithm for Multi-Objective Optimization of Gene
Regulatory Network Models (Page 393)
Lotto,
R. B.
Evolving
Visually Guided Agents in an Ambiguous Virtual World (Page
115)
Louis,
S. J.
A
Scalable Parallel Genetic Algorithm for X-ray Spectroscopic Analysis (Page 811)
Predicting
Mining Activity with Parallel Genetic Algorithms (Page
2149)
Lu,
B.
Performance
Assessment of an Artificial Immune System Multiobjective Optimizer by
Two Improved Metrics (Page 373)
Luke,
S.
Evolutionary
Computation and the C-value Paradox (Page 91)
Lunacek,
M.
(Return
to Top)
Measuring
Mobility and the Performance of Global Search Algorithms (Page 1209)
Alternative
Implementations of The Griewangk Function (Page 1589)
Luo,
X.
Evolving
Recurrent Models Using Linear GP (Page 1787)
Luque,
C.
Evolutionary
Rule-Based System for IPO Underpricing Prediction (Page
983)
Lyman,
M.
Genetic
Programming for Association Rules on Card Sorting Data (Page
1551)
Machado,
J. A. T.
Fractional
Dynamic Fitness Functions for GA-based Circuit Design (Page
1571)
Mahdavi,
K.
An
Empirical Study of the Robustness of Two Module Clustering Fitness Functions
(Page 1029)
Maier,
H. R.
(Return
to Top)
Ant
Colony Optimization for Power Plant Maintenance Scheduling
Optimization (Page 249)
Majeed,
H.
Evaluating
GP Schema in Context (Page 1773)
Maletic,
J. I.
Hybridizing
Evolutionary Algorithms and Clustering Algorithms to Find Source-Code
Clones (Page 1079)
Mancini,
R. C.
A
Scalable Parallel Genetic Algorithm for X-ray Spectroscopic Analysis
(Page 811)
Mancoridis,
S.
GA-Based
Parameter Tuning for Multi-Agent Systems (Page 1085)
Mann,
C. J.
CGP
Visits the Santa Fe Trail — Effects of Heuristics on GP (Page
1697)
Martin
H, J. A.
Search
Space Modulation in Genetic Algorithms: Evolving the Search Space by Sinusoidal
Transformations (Page 1559)
Martin,
J. G.
Subproblem
Optimization by Gene Correlation with Singular Value Decomposition
(Page 1507)
Massey,
P.
Evolution
of a Human-Competitive Quantum Fourier Transform Algorithm Using Genetic
Programming (Page 1657)
Masum,
H.
(Return
to Top)
Statistical
Analysis of Heuristics for Evolving Sorting Networks (Page
1265)
Matos,
A.
Evolutionary
Models for Maternal Effects in Simulated Developmental Systems
(Page 149)
Matsumoto,
K.
A
Comparison Study between Genetic Algorithms and Bayesian Optimize Algorithms
by Novel Indices (Page 1485)
Matsumura,
K.
Genetic
Algorithms using Low-Discrepancy Sequences (Page 1341)
Matthews,
R.
Agent-Based
Modelling of Product Invention (Page 129)
McCall,
J.
Using
a Markov Network Model in a Univariate EDA: An Empirical Cost-Benefit
Analysis (Page 727)
McDonald,
J. R.
A
Case Study of Process Facility Optimization using Discrete Event Simulation
and Genetic Algorithm (Page 2197)
McLoughlin
III, J. F.
The
Enhanced Evolutionary Tabu Search and Its Application to the Quadratic
Assignment Problem (Page 975)
McMinn,
P.
Evolutionary
Testing of State-Based Programs (Page 1013)
McPartland,
M.
Emergence
of Communication in Competitive Multi-Agent Systems: A Pareto Multi-Objective
Approach (Page 51)
McPhee,
N. F.
(Return
to Top)
A
Theoretical Analysis of the HIFF Problem (Page 1153)
Meekhof,
T.
Using
Evolutionary Optimization to Improve Markov-based Classification with
Limited Training Data (Page 2211)
Mehnen,
J.
Using
Predators and Preys in Evolution Strategies (Page 827)
Mellor,
D.
A
First Order Logic Classifier System (Page 1819)
Merlo,
E.
Improving
Network Applications Security: a New Heuristic to Generate Stress Testing
Data (Page 1037)
Meth,
J.
BeeAdHoc:
An Energy Efficient Routing Algorithm for Mobile Ad Hoc Networks Inspired
by Bee Behavior (Page 153)
Mezura-Montes,
E.
Promising
Infeasibility and Multiple Offspring Incorporated to Differential Evolution
for Constrained Optimization (Page 225)
Michelitsch,
T.
Using
Predators and Preys in Evolution Strategies (Page 827)
Mierswa,
I.
Incorporating
Fuzzy Knowledge into Fitness: Multiobjective Evolutionary 3D Design of
Process Plants (Page 1985)
Miikkulainen,
R.
(Return
to Top)
Constructing
Good Learners using Evolved Pattern Generators
(Page 11)
Automatic
Feature Selection in Neuroevolution (Page 1225)
Efficient
Credit Assignment through Evaluation Function Decomposition (Page 1309)
Evolving
Neural Network Ensembles for Control Problems
(Page 1379)
Learning
Basic Navigation for Personal Satellite Assistant Using Neuroevolution (Page 1913)
Effective
Image Compression using Evolved Wavelets (Page
1961)
Neuroevolution
of an Automobile Crash Warning System (Page 1977)
Miki,
M.
Multi-Objective
Optimization of Diesel Engine Emissions and Fuel Economy Using SPEA2+
(Page 2195)
Miller,
J. F.
Investigating
the Performance of Module Acquisition in Cartesian Genetic Programming
(Page 1649)
Minhas,
M.
Multiobjective
VLSI Cell Placement using Distributed Genetic Algorithm (Page
1585)
Minqiang,
L.
Multi-level
Genetic Algorithm (MLGA) for the Construction of Clock Binary Tree
(Page 1441)
Mitchell,
M.
Investigating
the Success of Spatial Coevolution (Page 523)
Mohr,
P.
(Return
to Top)
Is
Negative Selection Appropriate for Anomaly Detection? (Page
321)
Monson,
C. K.
Bayesian
Optimization Models for Particle Swarms (Page
193)
Exposing
Origin-Seeking Bias in PSO (Page 241)
Montana,
D.
Optimizing
Parameters of a Mobile Ad Hoc Network Protocol with a Genetic Algorithm
(Page 1993)
Moon,
B.-R.
An
Evolutionary Lagrangian Method for the 0/1 Multiple Knapsack Problem (Page 629)
Computing
the Epistasis Variance of Large-Scale Traveling Salesman Problems (Page 1169)
New
Topologies for Genetic Search Space (Page 1393)
Normalization
for Neural Network in Genetic Search (Page 1581)
Genetic
Fuzzy Discretization with Adaptive Intervals for Classification Problems (Page 2037)
Stock
Prediction Based on Financial Correlation (Page
2061)
Nonlinear
Feature Extraction Using a Neuro Genetic Hybrid (Page 2089)
Moore,
F. W.
A
Genetic Algorithm for Optimized Reconstruction of Quantized One-dimensional
Signals (Page 1599)
Mori,
N.
(Return
to Top)
A
Comparison Study between Genetic Algorithms and Bayesian Optimize Algorithms
by Novel Indices (Page 1485)
Mueller,
C.
BeeAdHoc:
An Energy Efficient Routing Algorithm for Mobile Ad Hoc Networks Inspired
by Bee Behavior (Page 153)
Muńoz
Zavala, A. E.
Constrained
Optimization via Particle Evolutionary Swarm Optimization Algorithm (PESO)
(Page 209)
Murata,
T.
Neighboring
Crossover to Improve GA-Based Q-Learning Method for Multi-Legged Robot
Control (Page 145)
Genetic
Network Programming with Automatically Defined Groups for Assigning Proper
Roles to Multiple Agents (Page 1705)
Mytkowicz,
T.
Evolving
Cooperative Strategies for UAV Teams (Page 1721)
Nag,
S.
A
Pareto Archive Evolutionary Strategy Based Radial Basis Function Neural
Network Training Algorithm for Failure Rate Prediction in Overhead Feeders
(Page 2127)
Nakamura,
M.
(Return
to Top)
Parallel
Genetic Algorithms on Line Topology of Heterogeneous Computing Resources
(Page 1447)
Nakamura,
T.
Genetic
Network Programming with Automatically Defined Groups for Assigning Proper
Roles to Multiple Agents (Page 1705)
Nakayama,
S.
Multi-Objective
Optimization of Diesel Engine Emissions and Fuel Economy Using SPEA2+
(Page 2195)
Narukawa,
K.
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)
Nashvili,
M.
Morphing
Methods in Evolutionary Design Optimization (Page 897)
Nassu,
B. T.
A
Comparison of Evolutionary Algorithms for System-Level Diagnosis
(Page 2053)
Natarajan,
B.
A
Multi-objective Algorithm for DS-CDMA Code Design Based on the Clonal
Selection Principle (Page 2015)
An
Ant Colony Algorithm for Multi-user Detection in Wireless Communication
Systems (Page 2121)
Nathan,
P.
Breeding
Swarms: A New Approach to Recurrent Neural Network Training
(Page 185)
Naudts,
B.
Walsh
Transforms, Balanced Sum Theorems and Partition Coefficients over Multary
Alphabets (Page 1303)
Naval,
Jr., P. C.
An
Effective Use of Crowding Distance in Multiobjective Particle Swarm Optimization
(Page 257)
Neal-Sturgess,
C.
(Return
to Top)
Optimization
of Passenger Car Design for the Mitigation of Pedestrian Head Injury Using
a Genetic Algorithm (Page 2113)
Neumann,
F.
Minimum
Spanning Trees Made Easier Via Multi-Objective Optimization
(Page 763)
Nguyen,
D.
Evolving
Cooperative Strategies for UAV Teams (Page 1721)
Nino,
F.
Towards
a Self-Stopping Evolutionary Algorithm Using Coupling From The Past
(Page 615)
Nojima,
Y.
An
Empirical Study on the Handling of Overlapping Solutions in Evolutionary
Multiobjective Optimization (Page 817)
Nolfi,
S.
Emergence
of Communication in Competitive Multi-Agent Systems: A Pareto Multi-Objective
Approach (Page 51)
Noman,
N.
Inference
of Gene Regulatory Networks Using S-system and Differential Evolution (Page 439)
Enhancing
Differential Evolution Performance with Local Search for High Dimensional
Function Optimization (Page 967)
Nowe,
A.
(Return
to Top)
A
Model Based on Ant Colony System and Rough Set Theory to Feature Selection
(Page 275)
Nummela,
J.
Evolving
Petri Nets to Represent Metabolic Pathways (Page 2133)
Nunez,
A. S.
MOEA
Design of Robust Digital Symbol Sets (Page 2213)
Nunn,
I.
The
Application of Antigenic Search Techniques to Time Series Forecasting
(Page 353)
Oh,
S.
On
the Practical Genetic Algorithms (Page 1583)
Ohnishi,
K.
Evolutionary
Change in Developmental Timing (Page 1561)
Oks,
B.
Evolutionary
Computation Applied to the Tuning of MEMS Gyroscopes (Page
927)
Olhofer,
M.
Morphing
Methods in Evolutionary Design Optimization (Page 897)
Ondas,
R.
(Return
to Top)
Scalability
of Genetic Programming and Probabilistic Incremental Program Evolution
(Page 1785)
O'Neill,
M.
Agent-Based
Modelling of Product Invention (Page 129)
meta-Grammar
Constant Creation with Grammatical Evolution by Grammatical Evolution
(Page 1665)
Ong,
T. J.
Terrain
Generation Using Genetic Algorithms (Page 1463)
Ong,
Y. S.
Solving
Large Scale Combinatorial Optimization Using PMA-SLS (Page
621)
Oppacher,
F.
Statistical
Analysis of Heuristics for Evolving Sorting Networks (Page
1265)
Orvisky,
E.
Particle
Swarm Optimization for Analysis of Mass Spectral Serum Profiles
(Page 431)
Ostfeld,
A.
Water
Distribution Systems Optimal Design Using Cross Entropy (Page
647)
Pache,
G.
(Return
to Top)
Search-based
Improvement of Subsystem Decompositions (Page 1045)
Pahwa,
A.
A
Pareto Archive Evolutionary Strategy Based Radial Basis Function Neural
Network Training Algorithm for Failure Rate Prediction in Overhead Feeders
(Page 2127)
Pakhira,
M. K.
A
Hardware Pipeline for Function Optimization using Genetic Algorithms
(Page 949)
Pannenbaecker,
T.
BeeAdHoc:
An Energy Efficient Routing Algorithm for Mobile Ad Hoc Networks Inspired
by Bee Behavior (Page 153)
Pardoe,
D.
Evolving
Neural Network Ensembles for Control Problems (Page 1379)
Parker,
G.
Evolution
of Multi-Loop Controllers for Fixed Morphology with a Cyclic Genetic Algorithm
(Page 147)
Paszynska,
A.
An
Extension of Vose's Markov Chain Model for Genetic Algorithms
(Page 1553)
Paul,
C.
Evolutionary
Form-Finding of Tensegrity Structures (Page 3)
Paul,
T. K.
(Return
to Top)
Extraction
of Informative Genes from Microarray Data (Page 453)
Paxton,
J.
EA
Models and Population Fixed-Points Versus Mutation Rates for Functions
of Unitation (Page 1233)
Payne,
J. L.
A
Hybrid Genetic Algorithm with Pattern Search for Finding Heavy Atoms in
Protein Crystals (Page 377)
Peay,
C.
Evolutionary
Computation Applied to the Tuning of MEMS Gyroscopes (Page
927)
Pelikan,
M.
Extracted
Global Structure Makes Local Building Block Processing Effective in XCS (Page 655)
Multiobjective
hBOA, Clustering, and Scalability (Page 663)
Scalability
of Genetic Programming and Probabilistic Incremental Program Evolution
(Page 1785)
Pennachin,
C.
(Return
to Top)
Learning
Computer Programs with the Bayesian Optimization Algorithm
(Page 747)
Perelman,
L.
Water
Distribution Systems Optimal Design Using Cross Entropy (Page
647)
Pérez
Pérez, E.
Constructive
Induction and Genetic Algorithms for Learning Concepts with Complex Interaction
(Page 1811)
Peterson,
G. L.
An
Evolutionary Algorithm to Generate Hyper-Ellipsoid Detectors for Negative
Selection (Page 337)
Peterson,
M. R.
GA-Facilitated
Classifier Optimization with Varying Similarity Measures (Page
1549)
Petricoin,
E. F.
Particle
Swarm Optimization for Analysis of Mass Spectral Serum Profiles
(Page 431)
Peysakhov,
M.
GA-Based
Parameter Tuning for Multi-Agent Systems (Page 1085)
Pfeiffer,
J.
(Return
to Top)
Classification
of Human Decision Behavior: Finding Modular Decision Rules with Genetic
Algorithms (Page 2021)
Pham,
Q. T.
Evolutionary
Optimization of Dynamic Control Problems Accelerated by Progressive Step
Reduction (Page 2181)
Phienthrakul,
T.
Evolutionary
Strategies for Multi-Scale Radial Basis Function Kernels in Support Vector
Machines (Page 905)
Philemotte,
C.
Intrinsic
Emergence Boosts Adaptive Capacity (Page 559)
Pillay,
N.
An
Investigation into Using Genetic Programming as a Means of Inducing Solutions
to Novice Procedural Programming Problems (Page 1781)
Pitt,
G.
Isolating
the Benefits of Respect (Page 1601)
Pizzimenti,
M.
Parameter
Sweeps for Exploring GP Parameters (Page 1791)
Poladian,
L.
(Return
to Top)
A
GA for Maximum Likelihood Phylogenetic Inference using Neighbour-Joining
as a Genotype to Phenotype Mapping (Page 415)
Poli,
R.
Exploring
Extended Particle Swarms: A Genetic Programming Approach (Page 169)
Information
Landscapes and the Analysis of Search Algorithms
(Page 1287)
Information
Landscapes and Problem Hardness (Page 1425)
Information
Landscapes (Page 1515)
Backward-chaining
Genetic Programming (Page 1777)
Pollack,
J.
Automated
Assembly as Situated Development: Using Artificial Ontogenies to Evolve
Buildable 3-D Objects (Page 99)
Pollack,
J. B.
On
Identifying Global Optima in Cooperative Coevolution (Page
539)
Poon,
P. W.
A
Genetic Algorithm Approach to the Selection of Near-Optimal Subsets from
Large Sets (Page 2203)
Popovici,
E.
(Return
to Top)
Understanding
Cooperative Co-evolutionary Dynamics via Simple Fitness Landscapes
(Page 507)
Potter,
M. A.
Applying
Price's Equation to Survival Selection (Page 1371)
Pozo,
A. T. R.
A
Comparison of Evolutionary Algorithms for System-Level Diagnosis
(Page 2053)
Preuss,
M.
Counteracting
Genetic Drift and Disruptive Recombination in (µ+,λ)-EA on
Multimodal Fitness Landscapes (Page 865)
Prodan,
L.
Multiple-Level
Concatenated Coding in Embryonics: A Dependability Analysis
(Page 941)
Pujals,
E.
Intransitivity
Revisited Coevolutionary Dynamics of Numbers Games (Page
515)
Pulavarty,
S. V. P. M. S.
On
the Convergence of an Estimation of Distribution Algorithm Based on Linkage
Discovery and Factorization (Page 695)
Punch,
W.
Conformation
of an Ideal Bucky Ball Molecule by Genetic Algorithm and Geometric Constraint
from Pair Distance Data (Page 1565)
Qi,
Z.-q.
(Return
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Flight
Midcourse Guidance Control Based On Genetic Algorithm (Page
1501)
Quintana,
D.
Evolutionary
Rule-Based System for IPO Underpricing Prediction (Page
983)
Rahman,
M.
Multi-Niche
Crowding in the Development of Parallel Genetic Simulated Annealing
(Page 1555)
Raines,
G. L.
Predicting
Mining Activity with Parallel Genetic Algorithms (Page
2149)
Ramakrishna,
R. S.
On
the Practical Genetic Algorithms (Page 1583)
Rand,
W.
(Return
to Top)
The
Problem with a Self-Adaptive Mutation Rate in Some Environments: A Case
Study using the Shaky Ladder Hyperplane-Defined Functions (Page
1493)
Ranjithan,
S. R.
Multipopulation
Cooperative Coevelutionary Programming (MCCP) to Enhance Design Innovation
(Page 1641)
Raquel,
C. R.
An
Effective Use of Crowding Distance in Multiobjective Particle Swarm Optimization
(Page 257)
Rasheed,
K.
MDGA:
Motif Discovery Using A Genetic Algorithm (Page
447)
Improving
GA Search Reliability Using Maximal Hyper-Rectangle Analysis
(Page 1185)
Ravichandran,
B.
XCS
for Robust Automatic Target Recognition (Page 1803)
Raymer,
M. L.
GA-Facilitated
Classifier Optimization with Varying Similarity Measures (Page
1549)
Redi,
J.
Optimizing
Parameters of a Mobile Ad Hoc Network Protocol with a Genetic Algorithm
(Page 1993)
Reis,
C.
(Return
to Top)
Fractional
Dynamic Fitness Functions for GA-based Circuit Design (Page
1571)
Ren,
Q.
Genetic
Drift in Univariate Marginal Distribution Algorithm (Page
745)
Ressom,
H.
Particle
Swarm Optimization for Analysis of Mass Spectral Serum Profiles
(Page 431)
Rettinger,
A.
Intelligent
Exploration for Genetic Algorithms Using Self-Organizing Maps in Evolutionary
Computation (Page 1531)
Reyes,
C. A.
ARGEN
+ AREPO: Mixing the Artificial Genetic Engineering and Artificial Evolution
of Populations to Improve the Search Process (Page 1597)
Richards,
M. D.
Evolving
Cooperative Strategies for UAV Teams (Page 1721)
Richter,
J. N.
EA
Models and Population Fixed-Points Versus Mutation Rates for Functions
of Unitation (Page 1233)
Ridder,
J. P.
(Return
to Top)
Mission
Planning for Joint Suppression of Enemy Air Defenses Using a Genetic Algorithm
(Page 1929)
Rieffel,
J.
Automated
Assembly as Situated Development: Using Artificial Ontogenies to Evolve
Buildable 3-D Objects (Page 99)
Riolo,
R.
The
Problem with a Self-Adaptive Mutation Rate in Some Environments: A Case
Study using the Shaky Ladder Hyperplane-Defined Functions (Page
1493)
Rocha,
L. M.
Tracking
Extrema in Dynamic Environments using a Coevolutionary Agent-based Model
of Genotype Edition (Page 545)
Rockett,
P. I.
Evolving
Optimal Feature Extraction using Multi-objective Genetic Programming:
A Methodology and Preliminary Study on Edge Detection (Page
795)
Roe,
J. L.
A
Co-evolutionary Hybrid Algorithm for Multi-Objective Optimization of Gene
Regulatory Network Models (Page 393)
Roggero,
P.
Evolution
of Voronoi based Fuzzy Recurrent Controllers (Page 1385)
Rojas,
D. A.
(Return
to Top)
Discriminating
and Visualizing Anomalies Using Negative Selection and Self-Organizing
Maps (Page 297)
Romay,
M. G.
Introducing
a Watermarking with a Multi-Objective Genetic Algorithm (Page
2219)
Rome,
D.
Evolving
Cooperative Strategies for UAV Teams (Page 1721)
Rosenberg,
R. C.
Design
of Air Pump System Using Bond Graph and Genetic Programming Method
(Page 2215)
Ross,
P.
Hyper-heuristics
and Classifier Systems for Solving 2D-Regular Cutting Stock Problems
(Page 637)
Rothlauf,
F.
Classification
of Human Decision Behavior: Finding Modular Decision Rules with Genetic
Algorithms (Page 2021)
Russell,
M. A.
A
Genetic Algorithm for Unmanned Aerial Vehicle Routing (Page
1523)
Ryan,
C.
(Return
to Top)
Evaluating
GP Schema in Context (Page 1773)
Ryoo,
M.
Evolving
Neural Network Ensembles for Control Problems (Page 1379)
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