Saha,
D.
Particle
Swarm Optimization for Analysis of Mass Spectral Serum Profiles
(Page 431)
Sait,
S. M.
Comparative
Evaluation of Parallelization Strategies for Evolutionary and Stochastic
Heuristics (Page 921)
Multiobjective
VLSI Cell Placement using Distributed Genetic Algorithm
(Page 1585)
Sakakibara,
K.
The
Effectiveness of Multiobjective Optimizer in Single-objective Optimization
Environment (Page 829)
Sakuma,
J.
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)
Salihoglu,
E. (Return
to Top)
Towards
an Analysis of Dynamic Environments
(Page 1433)
Samples,
M. E.
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)
Samsonovich,
A. V.
Pricing
the 'Free Lunch' of Meta-Evolution
(Page 1355)
Sanaullah,
S.
Comparative
Evaluation of Parallelization Strategies for Evolutionary and Stochastic
Heuristics (Page 921)
Multiobjective
VLSI Cell Placement using Distributed Genetic Algorithm
(Page 1585)
Sánchez,
Á.
A
Low-Level Hybridization between Memetic Algorithm and VNS for the Max-Cut
Problem (Page 999)
Sanchez,
E.
New
Evolutionary Techniques for Test-Program Generation for Complex Microprocessor
Cores (Page 2193)
Sastry,
K.
(Return
to Top)
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)
Scalability
of Genetic Programming and Probabilistic Incremental
Program Evolution (Page 1785)
The
Compact Classifier System: Motivation, Analysis, and First Results
(Page 1893)
Sato,
Y.
Event-driven
Learning Classifier Systems for Online Soccer Games
(Page 2201)
Saunders,
R.
Terrain
Generation Using Genetic Algorithms
(Page 1463)
Schellbach,
U.
Theoretical
Analysis of a Mutation-Based Evolutionary Algorithm for a Tracking Problem
in the Lattice (Page 841)
Schermerhorn,
P.
Predicting
Population Dynamics and Evolutionary Trajectories based on Performance
Evaluations in Alife Simulations
(Page 35)
Scheutz,
M.
(Return
to Top)
Predicting
Population Dynamics and Evolutionary Trajectories based on Performance
Evaluations in Alife Simulations
(Page 35)
Schillaci,
M.
New
Evolutionary Techniques for Test-Program Generation for Complex Microprocessor
Cores (Page 2193)
Schlessinger,
E.
Evolving
Visually Guided Agents in an Ambiguous Virtual World
(Page 115)
Schlichter,
T.
Improving
EA-based Design Space Exploration by Utilizing Symbolic Feasibility Tests
(Page 1945)
Schmickl,
T.
Simulating
Swarm Intelligence in Honey Bees: Foraging in Differently Fluctuating
Environments (Page 273)
Schmidhuber,
J.
Co-Evolving
Recurrent Neurons Learn Deep Memory POMDPs (Page 491)
Modeling
Systems with Internal State using Evolino
(Page 1795)
Schmitt,
K.
Using
Predators and Preys in Evolution Strategies (Page 827)
Using
Gene Deletion and Gene Duplication in Evolution Strategies
(Page 919)
Schoenauer,
M. (Return
to Top)
Local
and Global Order 3/2 Convergence of a Surrogate Evolutionary Algorithm
(Page 857)
Evolution
of Voronoi based Fuzzy Recurrent Controllers (Page 1385)
A
Statistical Learning Theory Approach of Bloat (Page 1783)
ATNoSFERES
revisited (Page 1867)
Schönemann,
L.
Counteracting
Genetic Drift and Disruptive Recombination in (µ+,λ)-EA on Multimodal
Fitness Landscapes (Page 865)
Optimal
Number of Evolution Strategies Mutation Step Sizes in Dynamic Environments
(Page 923)
Schonfeld,
J.
A
Study of Evolutionary Robustness in Stochastically Tiled Polyominos
(Page 19)
Schunk,
D.
Classification
of Human Decision Behavior: Finding Modular Decision Rules with Genetic
Algorithms (Page 2021)
Schut,
M. C.
Comparing
Multicast and Newscast Communication in Evolving Agent Societies
(Page 75)
Scott,
D.
An
Abstraction Algorithm for Genetics-based Reinforcement Learning
(Page 1875)
Seehuus,
R. (Return
to Top)
Discovering
Biological Motifs With Genetic Programming: Comparing linear and tree-based
representations for unaligned protein sequences
(Page 401)
Seeluangsawat,
P.
A
Multiple Objective Evolutionary Algorithm for Multiple Sequence Alignment
(Page 477)
Sendhoff,
B.
Morphing
Methods in Evolutionary Design Optimization (Page 897)
Three
Dimensional Evolutionary Aerodynamic Design Optimization with CMA-ES
(Page 2173)
Seng,
O.
Search-based
Improvement of Subsystem Decompositions
(Page 1045)
Seo,
D.-I.
Computing
the Epistasis Variance of Large-Scale Traveling Salesman Problems
(Page 1169)
Seo,
K.
Design
of Air Pump System Using Bond Graph and Genetic Programming Method
(Page 2215)
Seo,
S. Y.
Genetic
Fuzzy Discretization with Adaptive Intervals for Classification Problems
(Page 2037)
Seppi,
K. D.
(Return
to Top)
Bayesian
Optimization Models for Particle Swarms (Page 193)
Exposing
Origin-Seeking Bias in PSO (Page
241)
Settles,
M.
Breeding
Swarms: A GA/PSO Hybrid (Page 161)
Breeding
Swarms: A New Approach to Recurrent Neural Network Training
(Page 185)
Sha,
Y.
Directional
Self-Learning of Genetic Algorithm
(Page 1569)
Shafti,
L. S.
Constructive
Induction and Genetic Algorithms for Learning Concepts with Complex Interaction
(Page 1811)
Shakya,
S.
Using
a Markov Network Model in a Univariate EDA: An Empirical Cost-Benefit
Analysis (Page 727)
Shang,
R.
Performance
Assessment of an Artificial Immune System Multiobjective Optimizer by
Two Improved Metrics (Page
373)
Shapiro,
J. M. (Return
to Top)
An
Evolutionary Algorithm to Generate Hyper-Ellipsoid Detectors for Negative
Selection (Page 337)
Shargel,
B.
Evolving
Computer Intrusion Scripts for Vulnerability Assessment and Log Analysis
(Page 1905)
Sherony,
R.
Neuroevolution
of an Automobile Crash Warning System
(Page 1977)
Shimizu,
K.
Simple
Addition of Ranking Method for Constrained Optimization in Evolutionary
Algorithms (Page 889)
Shir,
O. M.
Niching
in Evolution Strategies (Page
915)
Shousha,
M.
Stress
Testing Real-Time Systems with Genetic Algorithms
(Page 1021)
Sigaud,
O.
ATNoSFERES
revisited (Page 1867)
Silva,
A.
Agent-Based
Modelling of Product Invention
(Page 129)
Silva,
R.
(Return
to Top)
Genetic
Algorithms for the Sailor Assignment Problem
(Page 1921)
Silva,
S.
Resource-Limited
Genetic Programming: The Dynamic Approach
(Page 1673)
Sim,
E.
Production
Planning in Manufacturing/Remanufacturing Environment using Genetic Algorithm
(Page 2217)
Simien,
J.
Genetic
Algorithms for the Sailor Assignment Problem
(Page 1921)
Simon,
J.
A
Pareto Archive Evolutionary Strategy Based Radial Basis Function Neural
Network Training Algorithm for Failure Rate Prediction in Overhead Feeders
(Page 2127)
Simpson,
A. R.
Ant
Colony Optimization for Power Plant Maintenance Scheduling Optimization
(Page 249)
Sit,
Y. F.
Learning
Basic Navigation for Personal Satellite Assistant Using Neuroevolution
(Page 1913)
Skellett,
B.
Maximally
Rugged NK Landscapes Contain the Highest Peaks
(Page 579)
Skolicki,
Z.
The
Influence of Migration Sizes and Intervals on Island Models
(Page 1295)
Smith
III, J. F.
Evolving
Fuzzy Decision Tree Structure that Adapts in Real-Time
(Page 1737)
Smith,
A. E.
(Return
to Top)
Designing
Resilient Networks Using a Hybrid Genetic Algorithm Approach
(Page 1279)
Smith,
R. E.
XCS
for Robust Automatic Target Recognition
(Page 1803)
Smith,
S.
Multi-Chromosomal
Genetic Programming (Page 1753)
Smock,
R.
Using
Evolutionary Computation Methods to Support Analytical Models for the
Evolution and Maintenance of Conditional Strategies in Chthamalus
anisopoma (Page
409)
Sokolov,
A.
Alternative
Implementations of The Griewangk Function (Page 1589)
Unbiased
Tournament Selection (Page
1131)
Soltoggio,
A.
An
Enhanced GA to Improve the Search Process Reliability in Tuning of Control
Systems (Page 2165)
Song,
Y.
MDGA:
Motif Discovery Using A Genetic Algorithm
(Page 447)
Sonoda,
T.
Three
Dimensional Evolutionary Aerodynamic Design Optimization with CMA-ES
(Page 2173)
Sonza
Reorda, M.
New
Evolutionary Techniques for Test-Program Generation for Complex Microprocessor
Cores (Page 2193)
Soule,
T.
(Return
to Top)
Breeding
Swarms: A GA/PSO Hybrid (Page 161)
Breeding
Swarms: A New Approach to Recurrent Neural Network Training
(Page 185)
Exploiting
Disruption Aversion to Control Bloat (Page 1605)
Function
Choice, Resiliency and Growth in Genetic Programming
(Page 1771)
Spector,
L.
Validation
of Evolutionary Activity Metrics for Long-Term Evolutionary Dynamics
(Page 137)
The
Push3 Execution Stack and the Evolution of Control
(Page 1689)
Speer,
N.
Identifying
Valid Solutions for the Inference of Regulatory Networks
(Page 469)
Spellward,
P.
On
the Contribution of Gene Libraries to Artificial Immune Systems
(Page 313)
Spieth,
C.
Identifying
Valid Solutions for the Inference of Regulatory Networks
(Page 469)
Squillero,
G.
New
Evolutionary Techniques for Test-Program Generation for Complex Microprocessor
Cores (Page 2193)
Stanley,
K.
Neuroevolution
of an Automobile Crash Warning System
(Page 1977)
Stanley,
K. O. (Return
to Top)
Automatic
Feature Selection in Neuroevolution
(Page 1225)
Stepney,
S.
Evolution
of a Human-Competitive Quantum Fourier Transform Algorithm Using Genetic
Programming (Page 1657)
Sterpone,
L.
New
Evolutionary Techniques for Test-Program Generation for Complex Microprocessor
Cores (Page 2193)
Stevens,
D.
A
Multi-objective Algorithm for DS-CDMA Code Design Based on the Clonal
Selection Principle (Page 2015)
Stevens,
J.
Exploiting
Disruption Aversion to Control Bloat
(Page 1605)
Stibor,
T.
Is
Negative Selection Appropriate for Anomaly Detection?
(Page 321)
Stone,
P.
Automatic
Feature Selection in Neuroevolution
(Page 1225)
Storch,
T.
(Return
to Top)
On
the Impact of Objective Function Transformations on Evolutionary and Black-Box
Algorithms (Page 833)
Stout,
A.
Validation
of Evolutionary Activity Metrics for Long-Term Evolutionary Dynamics
(Page 137)
Strauss,
C. E. M.
A
Comparative Study of Probability Collectives Based Multi-agent Systems
and Genetic Algorithms (Page
751)
Streichert,
F.
Identifying
Valid Solutions for the Inference of Regulatory Networks
(Page 469)
Stringer,
H.
Behavior
of Finite Population Variable Length Genetic Algorithms Under Random Selection
(Page 1249)
Sudholt,
D.
Crossover
is Probably Essential for the Ising Model on Trees
(Page 1161)
Sundarraj,
G.
An
Efficient Genetic Algorithm for Predicting Protein Tertiary Structures
in the 2D HP Model (Page 385)
Sureka,
A.
(Return
to Top)
Applying
Metaheuristic Techniques to Search the Space of Bidding Strategies in
Combinatorial Auctions (Page
2097)
Sutton,
A.
Hybridizing
Evolutionary Algorithms and Clustering Algorithms to Find Source-Code
Clones (Page 1079)
Suzuki,
J.
On
the Stationary Distribution of GAs with Fixed Crossover Probability
(Page 1147)
Suzuki,
R.
Evolutionary
Models for Maternal Effects in Simulated Developmental Systems
(Page 149)
Swift,
S.
An
Empirical Study of the Robustness of Two Module Clustering Fitness Functions
(Page 1029)
Szumlanski,
S. R.
Collaborative
Interactive Evolution (Page
2199)
Takeda,
M.
A
Comparison Study between Genetic Algorithms and Bayesian Optimize Algorithms
by Novel Indices (Page 1485)
Talaie,
S.
Predicting
Mining Activity with Parallel Genetic Algorithms
(Page 2149)
Tamaki,
S.
Parallel
Genetic Algorithms on Line Topology of Heterogeneous Computing Resources
(Page 1447)
Tanev,
I.
(Return
to Top)
Learned
Mutation Strategies in Genetic Programming for Evolution and Adaptation
of Simulated Snakebot (Page
687)
Tang,
J.
Solving
Large Scale Combinatorial Optimization Using PMA-SLS
(Page 621)
Tang,
K. W.
From
Supervised Ranking to Evoloving Behaviours of A Robotic Team
(Page 1325)
Tang,
M.
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)
Teich,
J.
Improving
EA-based Design Space Exploration by Utilizing Symbolic Feasibility Tests
(Page 1945)
Terashima-Marín,
H.
Hyper-heuristics
and Classifier Systems for Solving 2D-Regular Cutting Stock Problems
(Page 637)
Terrile,
R.
Evolutionary
Computation Applied to the Tuning of MEMS Gyroscopes
(Page 927)
Tettamanzi,
A. (Return
to Top)
Takeover
Time Curves in Random and Small-World Structured Populations
(Page 1333)
Teytaud,
O.
Local
and Global Order 3/2 Convergence of a Surrogate Evolutionary Algorithm
(Page 857)
A
Statistical Learning Theory Approach of Bloat
(Page 1783)
Thenius,
R.
Simulating
Swarm Intelligence in Honey Bees: Foraging in Differently Fluctuating
Environments (Page 273)
Thierens,
D.
On
the Complexity of Hierarchical Problem Solving (Page 1201)
An
Adaptive Pursuit Strategy for Allocating Operator Probabilities
(Page 1539)
Timmis,
J.
Is
Negative Selection Appropriate for Anomaly Detection?
(Page 321)
Ting,
C.-K.
A
Mutation Operator for Evolution Strategies to Handle Constrained Problems
(Page 917)
Toma,
T.
Comparing
Multicast and Newscast Communication in Evolving Agent Societies
(Page 75)
Tomassini,
M. (Return
to Top)
Takeover
Time Curves in Random and Small-World Structured Populations
(Page 1333)
Tonkes,
B.
Maximally
Rugged NK Landscapes Contain the Highest Peaks
(Page 579)
Townsend,
G. C.
Using
Evolutionary Computation Methods to Support Analytical Models for the
Evolution and Maintenance of Conditional Strategies in Chthamalus
anisopoma (Page
409)
Tsai,
H.-K.
Improving
EAX with Restricted 2-opt (Page
1471)
Tseng,
C.-L.
Harmony
Search for Structural Design (Page
651)
Tumer,
K.
Coordinating
Multi-Rover Systems: Evaluation Functions for Dynamic and Noisy Environments
(Page 591)
Efficient
Credit Assignment through Evaluation Function Decomposition
(Page 1309)
Tveit,
A.
Discovering
Biological Motifs With Genetic Programming: Comparing linear and tree-based
representations for unaligned protein sequences
(Page 401)
Tyrrell,
A.
Multi-Chromosomal
Genetic Programming (Page 1753)
Udrescu,
M. (Return
to Top)
Multiple-Level
Concatenated Coding in Embryonics: A Dependability Analysis
(Page 941)
Uthurburu,
J. R.
Determining
Equations for Vegetation Induced Resistance using Genetic Programming(Page
1999)
Uyar,
Ş
Improvements
to Penalty-Based Evolutionary Algorithms for the Multi-Dimensional Knapsack
Problem Using a Gene-Based Adaptive Mutation Approach
(Page 1257)
Towards
an Analysis of Dynamic Environments(Page 1433)
Valdez-Peńa,
S. I.
Multiobjective
Shape Optimization with Constraints based on Estimation Distribution Algorithms
and Correlated Information (Page
749)
Valero
Cuevas, F. J.
Evolutionary
Form-Finding of Tensegrity Structures
(Page 3)
Valsalam,
V.
Constructing
Good Learners using Evolved Pattern Generators
(Page 11)
van
Hemert, J. (Return
to Top)
Transition
Models as an Incremental Approach for Problem Solving in Evolutionary
Algorithms (Page 599)
Vannucci,
J.
Genetic
Algorithms for the Sailor Assignment Problem
(Page 1921)
Varghese,
R. S.
Particle
Swarm Optimization for Analysis of Mass Spectral Serum Profiles
(Page 431)
Vasconcelos,
G. C.
A
New Evolutionary Method for Time Series Forecasting
(Page 2221)
Veenstra,
T. D.
Particle
Swarm Optimization for Analysis of Mass Spectral Serum Profiles
(Page 431)
Velázquez-Reyes,
J.
Promising
Infeasibility and Multiple Offspring Incorporated to Differential Evolution
for Constrained Optimization (Page
225)
Veloza-Suan,
A.
Discriminating
and Visualizing Anomalies Using Negative Selection and Self-Organizing
Maps (Page 297)
Veloza-Suan,
A.
A
Comparative Analysis of Artificial Immune Network Models
(Page 361)
Verschoren,
A. (Return
to Top)
Walsh
Transforms, Balanced Sum Theorems and Partition Coefficients over Multary
Alphabets (Page 1303)
Vidal,
C.
Walsh
Transforms, Balanced Sum Theorems and Partition Coefficients over Multary
Alphabets (Page 1303)
Vigraham,
S. A.
Evolving
Analog Controllers for Correcting Thermoacoustic Instability in Real Hardware
(Page 933)
Villa
Diharce, E. R.
Constrained
Optimization via Particle Evolutionary Swarm Optimization Algorithm (PESO)
(Page 209)
Villa,
C. M.
Symbolic
Regression in Multicollinearity Problems
(Page 2207)
Villani,
M. L.
An
Approach for QoS-aware Service Composition based on Genetic Algorithms
(Page 1069)
Violante,
M.
New
Evolutionary Techniques for Test-Program Generation for Complex Microprocessor
Cores (Page 2193)
Vladutiu,
M.
Multiple-Level
Concatenated Coding in Embryonics: A Dependability Analysis
(Page 941)
Vogel,
B.
BeeAdHoc:
An Energy Efficient Routing Algorithm for Mobile Ad Hoc Networks Inspired
by Bee Behavior (Page 153)
Volkert,
L. G.
Hybridizing
Evolutionary Algorithms and Clustering Algorithms to Find Source-Code
Clones (Page 1079)
Von
Zuben, F. J. (Return
to Top)
Autonomous
Navigation System Applied to Collective Robotics with Ant-Inspired Communication
(Page 121)
An
Artificial Immune Network for Multimodal Function Optimization on Dynamic
Environments (Page 289)
RABNET:
A Real-Valued Antibody Network for Data Clustering
(Page 371)
Vrajitoru,
D.
Hybrid
Real-Coded Mutation for Genetic Algorithms Applied to Graph Layouts
(Page 1563)
Vrancx,
P.
A
Model Based on Ant Colony System and Rough Set Theory to Feature Selection
(Page 275)
Wagner,
S.
Goal-Oriented
Preservation of Essential Genetic Information by Offspring Selection
(Page 1595)
Walker,
J. A.
Investigating
the Performance of Module Acquisition in Cartesian Genetic Programming
(Page 1649)
Walsh,
P.
A
Comparison of Messy GA and Permutation based GA for Job Shop Scheduling
(Page 1593)
Wang,
L. (Return
to Top)
An
Artificial Immune System Algorithm for CDMA Multiuser Detection over Multi-Path
Channels (Page 2105)
Wang,
Z.-G.
Multi-Niche
Crowding in the Development of Parallel Genetic Simulated Annealing
(Page 1555)
Wappler,
S.
Using
Evolutionary Algorithms for the Unit Testing of Object-Oriented Software
(Page 1053)
Benefits
of Software Measures for Evolutionary White-Box Testing
(Page 1083)
Watanabe,
S.
The
Effectiveness of Multiobjective Optimizer in Single-objective Optimization
Environment (Page 829)
Watson,
R. A.
On
the Complexity of Hierarchical Problem Solving
(Page 1201)
Wedde,
H. F.
BeeAdHoc:
An Energy Efficient Routing Algorithm for Mobile Ad Hoc Networks Inspired
by Bee Behavior (Page 153)
Wegener,
I. (Return
to Top)
Minimum
Spanning Trees Made Easier Via Multi-Objective Optimization
(Page 763)
Welch,
S.
A
Co-evolutionary Hybrid Algorithm for Multi-Objective Optimization of Gene
Regulatory Network Models (Page 393)
Wess,
T. J.
Evolving
an Improved Axial Structure for Fibrillar Collagen
(Page 471)
While,
L.
Map-labelling
with a Multi-objective Evolutionary Algorithm
(Page 1937)
White,
T.
The
Application of Antigenic Search Techniques to Time Series Forecasting
(Page 353)
Whiteson,
S.
Automatic
Feature Selection in Neuroevolution
(Page 1225)
Whiting,
P.
A
Genetic Algorithm Approach to the Selection of Near-Optimal Subsets from
Large Sets (Page 2203)
Whitley,
D. (Return
to Top)
Unbiased
Tournament Selection (Page 1131)
Measuring
Mobility and the Performance of Global Search Algorithms
(Page 1209)
Alternative
Implementations of The Griewangk Function (Page 1589)
Evolving
Cooperative Strategies for UAV Teams
(Page 1721)
Wierstra,
D.
Modeling
Systems with Internal State using Evolino
(Page 1795)
Wiese,
K. C.
The
Impact of Pseudorandom Number Quality on P-RnaPredict, a Parallel
Genetic Algorithm for RNA Secondary Structure Prediction
(Page 479)
Wight,
J.
An
"Ageing" Operator and Its Use in the Highly Constrained Topological Optimization
of HVAC System Design (Page
2075)
Wilder,
K.
Towards
a Self-Stopping Evolutionary Algorithm Using Coupling From The Past
(Page 615)
Wiles,
J.
Maximally
Rugged NK Landscapes Contain the Highest Peaks
(Page 579)
Williams,
N.
Investigating
the Success of Spatial Coevolution
(Page 523)
Wilson,
G.
Use
of a Genetic Algorithm in Brill's Transformation-Based Part-of-Speech
Tagger (Page 2067)
Wilson,
S. W. (Return
to Top)
Extending
XCSF Beyond Linear Approximation (Page 1827)
XCS
with Computed Prediction in Multistep Environments
(Page 1859)
Winkler,
S.
Goal-Oriented
Preservation of Essential Genetic Information by Offspring Selection
(Page 1595)
Witt,
C.
Rigorous
Runtime Analysis of a (µ+1) ES for the Sphere Function
(Page 849)
Wolpert,
D. H.
A
Comparative Study of Probability Collectives Based Multi-agent Systems
and Genetic Algorithms (Page
751)
Wong,
Y.-S.
Multi-Niche
Crowding in the Development of Parallel Genetic Simulated Annealing
(Page 1555)
Wright,
A.
EA
Models and Population Fixed-Points Versus Mutation Rates for Functions
of Unitation (Page 1233)
On
the Convergence of an Estimation of Distribution Algorithm Based on Linkage
Discovery and Factorization (Page
695)
Wu,
A. S. Return
to Top)
On
Favoring Positive Correlations between Form and Quality of Candidate Solutions
via the Emergence of Genomic Self-Similarity (Page 1177)
Behavior
of Finite Population Variable Length Genetic Algorithms Under Random Selection
(Page 1249)
Preservation
of Genetic Redundancy in The Existence of Developmental Error and Fitness
Assignment Error (Page 1317)
Collaborative
Interactive Evolution (Page
2199)
Wu,
J.-S.
Multiplex
PCR Primer Design for Gene Family Using Genetic Algorithm
(Page 67)
Wu,
J.-Y.
Artificial
Immune System for Solving Generalized Geometric Problems: a Preliminary
Results (Page 329)
Wurman,
P. R.
Applying
Metaheuristic Techniques to Search the Space of Bidding Strategies in
Combinatorial Auctions (Page
2097)
Xu,
K.
A
Scalable Parallel Genetic Algorithm for X-ray Spectroscopic Analysis
(Page 811)
Yamaguchi,
M.
Neighboring
Crossover to Improve GA-Based Q-Learning Method for Multi-Legged Robot
Control (Page 145)
Yanai,
K. Return
to Top)
Probabilistic
Distribution Models for EDA-based GP
(Page 1775)
Yang,
S.
Population-Based
Incremental Learning with Memory Scheme for Changing Environments
(Page 711)
Memory-Based
Immigrants for Genetic Algorithms in Dynamic Environments
(Page 1115)
Yang,
Z.-h.
Flight
Midcourse Guidance Control Based On Genetic Algorithm
(Page 1501)
Yee,
K.
Evolutionary
Computation Applied to the Tuning of MEMS Gyroscopes
(Page 927)
Yilmaz,
A. S.
Preservation
of Genetic Redundancy in The Existence of Developmental Error and Fitness
Assignment Error(Page 1317)
Yilmaz,
S.
Application
of Genetic Algorithm to Optimize Burnable Poison Placement in Pressurized
Water Reactors (Page 1477)
Yoon,
Y. (Return
to Top)
An
Evolutionary Lagrangian Method for the 0/1 Multiple Knapsack Problem
(Page 629)
Yoshida,
K.
Evolutionary
Change in Developmental Timing
(Page 1561)
Yossi,
B.
Information
Landscapes and the Analysis of Search Algorithms
(Page 1287)
Youssef,
B. B.
The
Impact of Pseudorandom Number Quality on P-RnaPredict, a Parallel
Genetic Algorithm for RNA Secondary Structure Prediction
(Page 479)
Yu,
J.
Some
Theoretical Results About the Computation Time of Evolutionary Algorithms
(Page 1409)
Yu,
T.-L.
Linkage
Learning, Ovelapping Building Blocks, and Systematic Strategy for Scalable
Recombination (Page 1217)
Yuan,
B.
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)
Zaidi,
A. M. (Return
to Top)
Comparative
Evaluation of Parallelization Strategies for Evolutionary and Stochastic
Heuristics(Page 921)
Zaiyi,
G.
Sufficiency
Verification of HIV-1 Pathogenesis Based on Multi-Agent Simulation
(Page 305)
Zechman,
E. M.
Multipopulation
Cooperative Coevelutionary Programming (MCCP) to Enhance Design Innovation
(Page 1641)
Zell,
A.
Identifying
Valid Solutions for the Inference of Regulatory Networks
(Page 469)
Zeng,
J.
A
Modified Particle Swarm Optimization Predicted by Velocity
(Page 277)
Genetic
Drift in Univariate Marginal Distribution Algorithm
(Page 745)
Zhan,
Y.
Search-Based
Mutation Testing for Simulink Models
(Page 1061)
Zhang,
B.-T. (Return
to Top)
Molecular
Programming: Evolving Genetic Programs in a Test Tube
(Page 1761)
Zhang,
C.
Improving
GA Search Reliability Using Maximal Hyper-Rectangle Analysis
(Page 1185)
Zhang,
J.
Adaptive
Crossover and Mutation in Genetic Algorithms Based on Clustering Technique
(Page 1577)
Zhang,
Y.
Evolving
Optimal Feature Extraction using Multi-objective Genetic Programming:
A Methodology and Preliminary Study on Edge Detection
(Page 795)
An
"Ageing" Operator and Its Use in the Highly Constrained Topological
Optimization of HVAC System Design (Page 2075)
Zhong,
J.
Adaptive
Crossover and Mutation in Genetic Algorithms Based on Clustering Technique
(Page 1577)
Zhong,
X.
Open-ended
Robust Design of Analog Filters Using Genetic Programming
(Page 1619)
Zincir-Heywood,
A. N. (Return
to Top)
Evolving
Recurrent Models Using Linear GP
(Page 1787)
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