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Author Index
Sabourin,
R.
Evolving
Ensemble of Classifiers in Random Subspace (Page 1473)
Sahraoui, H.
Simulated
Annealing for Impriving Software Quality Prediction
(Page 1893)
Sakuma, J.
Hybridization
of Genetic Algorithm and Local Search in Multiobjective Function Optimization:
Recommendation of GA then LS (Page 667)
Sakuma, J.
Local
Search for Multiobjective Function Optimization: Pareto Descent Method
(Page 659)
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Salem, O.
Cutting
Stock Waste Reduction Using Genetic Algorithms (Page
1675)
Samples, M.
Evolving
a Real-World Vehicle Warning System (Page 1681)
Sanchez, S.
Genetically
Programmed Strategies for Chess Endgame (Page 831)
Santana-Quintero,
L. V.
A
New Proposal for Multi-Objective Optimzation using Differential Evolution
and Rough Sets Theory (Page 675)
Sarker, R. A.
Credit
Assignment in Adaptive Evolutionary Algorithms (Page
1353)
Use
of Statistical Outlier Detection Method in Adaptive Evolutionary Algorithms
(Page 1345)
Sastry, K.
Analyzing
Active Interactive Genetic Algorithms using Visual Analytics
(Page 1417)
Evaluation
Relaxation Using Substructural Information and Linear Estimation
(Page 419)
Fast
Rule Matching for Learning Classifier Systems via Vector Instructions
(Page 1513)
Hierarchical
BOA on Random Decomposable Problems (Page 431)
Multiobjective
Genetic Algorithms for Multiscaling Excited State Direct Dynamics
in Photochemistry (Page 1745)
Sporadic
Model Building for Efficiency Enhancement of Hierarchical BOA
(Page 405)
Sato, Y.
Reward
Allotment in an Event-driven Hybrid Learning Classifier System for
Online Soccer Games (Page 1753)
Schadwinkel,
S.
A
Dynamic Approach to Artificial Immune Systems Utilizing Neural Networks
(Page 131)
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Schlessinger,
E.
Modular
Thinking: Evolving Modular Neural Networks for Visual Guidance of
Agents (Page 215)
Schlottmann,
F.
Comparison
of Multi-Objective Evolutionary Algorithms in Optimizing Combinations
of Reinsurance Contracts (Page 747)
Schmidt, J.
High-Order
Punishment and the Evolution of Cooperation (Page 379)
Schmidt, K.
High-Order
Punishment and the Evolution of Cooperation (Page 379)
Schmidt, M.
D.
Actively
Probing and Modeling Users in Interactive Coevolution
(Page 385)
Schmitt, L.
M.
Convergence
to Global Optima for Genetic Programming Systems with Dynamically
Scaled Operators (Page 879)
Schmitt, K.
Inside
a Predator-Prey Model for Multi-Objective Optimization: A Second Study
(Page 707)
Schoenauer,
M.
On
the Benefits of Inoculation, an Example in Train Scheduling
(Page 1761)
Schulenburg,
S.
Multi-Step
Environment Learning Classifier Systems Applied to Hyper-Heuristics
(Page 1521)
Schwaerzel,
R.
Predicting
Currency Exchange Rates by Genetic Programming with Trigonometric
Functions and High-Order Statistics (Page 955)
Seese, D.
Comparison
of Multi-Objective Evolutionary Algorithms in Optimizing Combinations
of Reinsurance Contracts (Page 747)
Seis, D.
High-Order
Punishment and the Evolution of Cooperation (Page 379)
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Semet, Y.
On
the Benefits of Inoculation, an Example in Train Scheduling
(Page 1761)
Seng, O.
Search-Based
Determination of Refactorings for Improving the Class Structure of
Object-Oriented Systems (Page 1909)
Seppi, K. D.
Adaptive
Diversity in PSO (Page 59)
Séquin, C. H.
Design
Synthesis of Microelectromechanical Systems Using Genetic Algorithms
with Component-Based Genotype Representation (Page
731)
Seredynski,
F.
Immune
Anomaly Detection Enhanced with Evolutionary Paradigms
(Page 119)
Serjeant, S.
Estimating
Photometric Redshifts with Genetic Algorithms (Page
1593)
Shahin, A.
Cutting
Stock Waste Reduction Using Genetic Algorithms (Page
1675)
Shakya, S.
Optimising
Cancer Chemotherapy Using an Estimation of Distribution Algorithm
and Genetic Algorithms (Page 413)
Shapiro, J.
L.
Does
Overfitting Affect Performance in Estimation of Distribution Algorithms
(Page 433)
Sharman, K.
C.
Towards
an Evolutionary Tool for the Allocation of Supermarket Shelf Space
(Page 1653)
Sheneman, L.
Estimating
the Destructiveness of Crossover on Binary Tree Representations
(Page 1427)
Sherony, R.
Evolving
a Real-World Vehicle Warning System (Page 1681)
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Shi, H.
Both
Robust Computation and Mutation Operation in Dynamic Evolutionary
Algorithm are Based on Orthogonal Design (Page 1437)
Shimohara, K.
Evolution
of Driving Agents, Remotely Operating a Scale Model of a Car with
Obstacle Avoidance Capabilities (Page 1785)
Shir, O. M.
The
Complete-Basis-Functions Parameterization in ES and its Application
to Laser Pulse Shaping (Page 1769)
Siedschlag,
C.
The
Complete-Basis-Functions Parameterization in ES and its Application
to Laser Pulse Shaping (Page 1769)
Simoncini, D.
Anisotropic
Selection in Cellular Genetic Algorithms (Page 559)
Simons, C. L.
Single
and Multi-objective Genetic Operators in Object-oriented Conceptual
Software Design (Page 1957)
Singh, P. K.
Biobjective
Evolutionary and Heuristic Algorithms for Intersection of Geometric
Graphs (Page 1689)
Singh, G.
Comparison
of Multi-Modal Optimization Algorithms Based on Evolutionary Algorithms
(Page 1305)
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Sinha, A.
Multi-Objective
Test Problems, Linkages, and Evolutionary Methodologies
(Page 1141)
Skaliotis, A.
Search-Based
Approaches to the Component Selection and Prioritization Problem
(Page 1951)
Slodzinski,
R.
High-Order
Punishment and the Evolution of Cooperation (Page 379)
Smaldon, J.
A
New Version of the Ant-Miner Algorithm Discovering Unordered Rule
Sets (Page 43)
Smith, M. L.
The
Role of Diverse Populations in Phylogenetic Analysis
(Page 287)
Smith, S. L.
Variable
Length Genetic Algorithms with Multiple Chromosomes on a Variant of
the Onemax Problem: Investigating Changes in Chromosome Length
(Page 1405)
Smits, G.
Pareto
Front Genetic Programming Parameter Selection Based on Design of Experiments
and Industrial Data (Page 1613)
Snijders, P.
Multi-Objective
Diversity Maintenance (Page 1429)
Soltoggio, A.
A
Simple Line Search Operator for Ridged Landscapes (Page
503)
Soto, P. L.
A
Computational Theory of Adaptive Behavior Based on an Evolutionary
Reinforcement Mechanism (Page 175)
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Soule, T.
A
Survey of Mutation Techniques in Genetic Programming
(Page 951)
Comparting
Genetic Robustness in Generational vs. Steady State Evolutionary Algorithms
(Page 143)
Dynamics
of Evolutionary Robustness (Page 871)
Genetic
Programming: Optimal Population Size for Varying Complexity Problems
(Page 953)
Growth
of Self-Canceling Code in Evolutionary Systems (Page
223)
Redundant
Genes and the Evolution of Robustness (Page 959)
Speer, N.
Comparing
Evolutionary Algorithms on the Problem of Network Inference
(Page 305)
Spezzano, G.
Improving
Cooperative GP Ensemble with Clustering and Pruning for Pattern Classification
(Page 791)
Spieth, C.
Comparing
Evolutionary Algorithms on the Problem of Network Inference
(Page 305)
Comparing
Mathematical Models on the Problem of Network Inference
(Page 279)
Srinivasan,
D.
A
Multi-objective Evolutionary Algorithm with Weighted-Sum Niching for
Convergence on Knee Regions (Page 749)
An
Efficient Multi-objective Evolutionary Algorithm with Steady-State
Replacement Model (Page 715)
Evolving
Cooperative Behavior in a Power Market (Page 1599)
Srinivasan,
A.
Innovization:
Innovating Design Principles Through Optimization (Page
1629)
Srisa-an, W.
Clustering
the Heap in Multi-Threaded Applications for Improved Garbage Collection
(Page 1901)
Stammel, J.
Search-Based
Determination of Refactorings for Improving the Class Structure of
Object-Oriented Systems (Page 1909)
Stanley, K.
O.
Coevolution
of Neural Networks using a Layered Pareto Archive (Page
329)
Stanley, K.
Evolving
a Real-World Vehicle Warning System (Page 1681)
Steeg, S.
High-Order
Punishment and the Evolution of Cooperation (Page 379)
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Steinhöfel,
K.
Search-Based
Approaches to the Component Selection and Prioritization Problem
(Page 1951)
Stephens, C.
R.
"Optimal"
Mutation Rates for Genetic Search (Page 1313)
Sthamer, H.
Improving
Evolutionary Real-Time Testing (Page 1917)
Stone, P.
Comparing
Evolutionary and Temproal Difference Methods in a Reinforcement Learning
Domain (Page 1321)
Designing
Safe, Profitable Automated Stock Trading Agents Using Evolutionary
Algorithms (Page 1777)
On-Line
Evolutionary Computation for Reinforcement Learning in Stochastic
Domains (Page 1577)
Storch, T.
How
Randomized Search Heuristics Find Maximum Cliques in Planar Graphs
(Page 567)
Stout, M.
Coordination
Number Prediction Using Learning Classifier Systems: Performance and
interpretability (Page 247)
Strangfeld,
S.
Properties
of the Bersini Experiment on Self-Assertion (Page 95)
Streichert,
F.
Comparing
Evolutionary Algorithms on the Problem of Network Inference
(Page 305)
Comparing
Mathematical Models on the Problem of Network Inference
(Page 279)
Subramanian,
H.
Designing
Safe, Profitable Automated Stock Trading Agents Using Evolutionary
Algorithms (Page 1777)
Sudholt, D.
On
the Analysis of the (1+1) Memetic Algorithm (Page 493)
Sun, L.
A
Hybrid of Genetic Algorithm and Bottleneck Shifting for Flexible Job
Shop Scheduling Problem (Page 1157)
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Sundar, J.
Reference
Point Based Multi-Objective Optimization Using Evolutionary Algorithms
(Page 635)
Supper, J.
Comparing
Evolutionary Algorithms on the Problem of Network Inference
(Page 305)
Sutton, A. M.
PSO
and Multi-Funnel Landscapes: How cooperation might limit exploration
(Page 75)
Suttorp, T.
A
Computational Efficient Covariance Matrix Update and a (1+/,1)-CMA
Evolution Strategies (Page 453)
Svingen, B.
When
Lisp is Faster than C (Page 957)
Tan,
P.
Evolving
Boolean Networks to Find Intervention Points in Dengue Pathogenesis
(Page 307)
Tanev, I.
Evolution
of Driving Agents, Remotely Operating a Scale Model of a Car with
Obstacle Avoidance Capabilities (Page 1785)
Tang, J.
A
GA-ACO-Local Search Hybrid Algorithm for Solving Quadratic Assignment
Problem (Page 599)
Adaptation
for Parallel Memetic Algorithm Based on Population Entropy
(Page 575)
Tarragó, T.
Peptive
Data Mining: From Virtual Design to Knowledge Extraction
(Page 297)
Tay, J. C.
Combining
Simplex with Niche-based Evolutionary Computation for Job-Shop Scheduling
(Page 583)
Evolving
Boolean Networks to Find Intervention Points in Dengue Pathogenesis
(Page 307)
The
Baldwin Effect under Spatial Isolation and Autonomous Reproduction
(Page 235)
Taylor, M. E.
Comparing
Evolutionary and Temproal Difference Methods in a Reinforcement Learning
Domain (Page 1321)
Teixeira, O.
N.
Game
Theory as a New Paradigm for Phenotype Characterization of Genetic
Algorithms (Page 1431)
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Teixeira, A.
N.
Game
Theory as a New Paradigm for Phenotype Characterization of Genetic
Algorithms (Page 1432)
Tempesti, G.
A
Dynamically Constrained Genetic Algorithm For Hardware-software Partitioning
(Page 769)
Terada, J.
Combining
Genetic Algorithms with Squeaky-Wheel Optimization
(Page 1329)
Leveraging
Domain-Expert Knowledge in a Genetic Algorithm for Civil Engineering
Design Optimization (Page 1433)
Terashima-Marín,
H.
A
GA-Based Method to Produce Generalized Hyper-heuristics for the 2D-Regular
Cutting Stock Problem (Page 591)
Tettamanzi,
A. G. B.
A
Neural Evolutionary Approach to Financial Modeling
(Page 1605)
Thibault, W.
C.
An
Evolutionary Approach to Camera-Based Projector Calibration
(Page 1871)
Thomason, R.
Redundant
Genes and the Evolution of Robustness (Page 959)
Thompson, A.
L.
Multiobjective
Genetic Algorithms for Multiscaling Excited State Direct Dynamics
in Photochemistry (Page 1745)
Tiwari, A.
Multi-Objective
Optimisation of the Protein-Ligand Docking Problem in Drug Discovery
(Page 1793)
Tlili, M.
Improving
Evolutionary Real-Time Testing (Page 1917)
Tomassini, M.
A
Quantitative Study of Neutrality in GP Boolean Landscapes
(Page 895)
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Topcuoglu, H.
A
Comparative Study of Evolutionary Optimization Techniques in Dynamic
Environments (Page 1397)
Genetic
Algorithms for Positioning and Utilizing Sensors in Synthetically
Generated Landscapes (Page 1801)
Tozier, W. A.
The
Brueckner Network: An Immobile Sorting Swarm (Page
91)
Traus, I.
Peptive
Data Mining: From Virtual Design to Knowledge Extraction
(Page 297)
Trujillo, L.
Synthesis
of Interest Point Detectors Through Genetic Programming
(Page 887)
Trumler, W.
An
Artificial Immune System and its Integration into an Organic Middleware
for Self-Protection (Page 129)
Tsuji`, M.
A
Crossover for Complex Building Blocks Overlapping (Page
1337)
Tumer, K.
Distributed
Evaluation Functions for Fault Tolerant Multi-Rover Systems
(Page 1079)
Tyrrell, A.
M.
Variable
Length Genetic Algorithms with Multiple Chromosomes on a Variant of
the Onemax Problem: Investigating Changes in Chromosome Length
(Page 1405)
Ungerer,
T.
An
Artificial Immune System and its Integration into an Organic Middleware
for Self-Protection (Page 129)
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Urquhart, N.
Real-time
Construction of Aircraft Landing Schedules Using an Evolutionary Algorithm
(Page 1879)
Uyar, H. T.
Pairwise
Sequence Comparison for Fitness Evaluation in Evolutionary Structural
Software Testing (Page 1959)
Uyar, A. S.
Pairwise
Sequence Comparison for Fitness Evaluation in Evolutionary Structural
Software Testing (Page 1959)
Valdés,
J. J.
Multi-objective
Evolutionay Optimization for Visual Data Mining with Virtual Reality
Spaces: Application to Alzheimer Gene Expressions (Page
723)
Valenzuela-Rendón,
M.
A
GA-Based Method to Produce Generalized Hyper-heuristics for the 2D-Regular
Cutting Stock Problem (Page 591)
Valsecchi, A.
Heterogeneous
Cooperative Coevolution: Strategies of Integration between GP and
GA (Page 361)
Vamplew, P.
An
Efficient Approach to Unbounded Bi-Objective Archives – Introducing
the Mak_ Tree Algorithm (Page 619)
van Hemert,
J.
Neighbourhood
Searches for the Bounded Diameter Minimum Spanning Tree Problem Embedded
in a VNS, EA, and ACO (Page 1187)
Vandecasteele,
F. P. J.
Genetic
Algorithms are Suitable for Driving Microbial Ecosystems in Desirable
Directions (Page 309)
Vanneschi, L.
A
Quantitative Study of Neutrality in GP Boolean Landscapes
(Page 895)
Genetic
Programming for Human Oral Bioavailability of Drugs
(Page 255)
Heterogeneous
Cooperative Coevolution: Strategies of Integration between GP and
GA (Page 361)
Vannucci, J.
Comparative
Analysis of the Sailor Assignment Problem (Page 1881)
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VanWyk, E.
Genomic
Computing Networks Learn Complex POMDPs (Page 233)
Velázquez-Reyes,
J.
A
Comparative Study of Differential Evolution Variants for Global Optimization
(Page 485)
Verel, S.
A
Quantitative Study of Neutrality in GP Boolean Landscapes
(Page 895)
Anisotropic
Selection in Cellular Genetic Algorithms (Page 559)
Deceptiveness
and Neutrality—The ND Family of Fitness Landscapes
(Page 507)
Verel, S.
Measuring
the Evolvability Landscape to Study Neutrality (Page
613)
Vidal, D.
Evolutionary
Design of Pseudorandom Sequence Generators based on Cellular Automata
and Its Applicability in Current Cryptosystems (Page
1859)
Vlassis, N.
The
Parallel Nash Memory for Asymmetric Games (Page 337)
Vo, H.
Combining
Genetic Algorithms with Squeaky-Wheel Optimization
(Page 1329)
Leveraging
Domain-Expert Knowledge in a Genetic Algorithm for Civil Engineering
Design Optimization (Page 1433)
Vrakking, M.
J. J.
The
Complete-Basis-Functions Parameterization in ES and its Application
to Laser Pulse Shaping (Page 1769)
Wagner,
S.
Sets
of Receiver Operating Characteristic Curves and their Use in the Evaluation
of Multi-Class Classification (Page 1601)
Walker, J. A.
A
Multi-chromosome Approach to Standard and Embedded Cartesian Genetic
Programming (Page 903)
Embedded
Cartesian Genetic Programming and the Lawnmower and Hierarchical-if-and-only-if
Problems (Page 911)
Wallace, D.
Dynamic
Multi-Objective Optimization with Evolutionary Algorithms: A Forward-Looking
Approach (Page 1201)
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Wang, J.
Reformulation
of the Generation of Conformance Testing Sequences to the Asymmetric
Travelling Salesman Problem (Page 1933)
Wang, R.
Both
Robust Computation and Mutation Operation in Dynamic Evolutionary
Algorithm are Based on Orthogonal Design (Page 1437)
Wappler, S.
Evolutionary
Unit Testing of Object-Oriented Software Using Strongly-Typed Genetic
Programming (Page 1925)
Improving
Evolutionary Real-Time Testing (Page 1917)
Wegener, I.
Maximum
Cardinality Matchings on Trees by Randomized Local Search
(Page 539)
On
the Local Performance of Simulated Annealing and the (1+1) Evolutionary
Algorithm (Page 469)
Wegener, J.
Evolutionary
Unit Testing of Object-Oriented Software Using Strongly-Typed Genetic
Programming (Page 1925)
Improving
Evolutionary Real-Time Testing (Page 1917)
Weinert, K.
Optimizing
of NC Tool Paths for Five-Axis Milling using Evolutionary Algorithms
on Wavelets (Page 1809)
Weissing, F.
Multi-Objective
Diversity Maintenance (Page 1429)
Welge, M.
Analyzing
Active Interactive Genetic Algorithms using Visual Analytics
(Page 1417)
Whitacre, J.
M.
Credit
Assignment in Adaptive Evolutionary Algorithms (Page
1353)
Use
of Statistical Outlier Detection Method in Adaptive Evolutionary Algorithms
(Page 1345)
Whiteson, S.
Comparing
Evolutionary and Temproal Difference Methods in a Reinforcement Learning
Domain (Page 1321)
On-Line
Evolutionary Computation for Reinforcement Learning in Stochastic
Domains (Page 1577)
Whitley, D.
A
Crossover Operator for the k-anonymity Problem (Page
1713)
Alternative
Evolutionary Algorithms for Evolving Programs: Evolution Strategies
and Steady State GP (Page 919)
PSO
and Multi-Funnel Landscapes: How cooperation might limit exploration
(Page 75)
The
Dispersion Metric and the CMA Evolution Strategy (Page
477)
Wiegand, R.
P.
Robustness
in Cooperative Coevolution (Page 369)
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Wiemann, N.
High-Order
Punishment and the Evolution of Cooperation (Page 379)
Wiering, M.
Red
Queen Dynamics in a Predator-prey Ecosystem (Page 381)
Williams, T.
L.
The
Role of Diverse Populations in Phylogenetic Analysis
(Page 287)
Wilson, S. W.
Classifier
Prediction based on Tile Coding (Page 1497)
Hyper-ellipsoidal
Conditions In XCS: Rotation, Linear Approximation, and Solution Structure
(Page 1457)
Prediction
Update Algorithms for XCSF: RLS, Kalman Filter, and Gain Adaptation
(Page 1505)
Using
Convex Hulls to Represent Classifier Conditions (Page
1481)
Winkler, S.
M.
Sets
of Receiver Operating Characteristic Curves and their Use in the Evaluation
of Multi-Class Classification (Page 1601)
Winward, P.
Fluctuating
Crosstalk, Deterministic Noise, and GA Scalability
(Page 1361)
Wojtusiak, J.
The
LEM3 Implementation of Learnable Evolution Model and Its Testing on
Complex Function Optimization Problems (Page 1281)
Wolf, M. B.
An
Open-set Speaker Identification System using Genetic Learning Classifier
System (Page 1597)
Wong, P.
Algebraic
Simplification of GP Programs During Evolution (Page
927)
Woo, D.
Evolving
Cooperative Behavior in a Power Market (Page 1599)
Worzel, W. P.
Using
Genetic Programming to Classify Node Positive Patients in Bladder
Cancer (Page 239)
Worzischek,
R.
Comparing
Evolutionary Algorithms on the Problem of Network Inference
(Page 305)
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Wright, A. H.
Strong
Recombination, Weak Selection, and Mutation (Page 1369)
Wu, A. S.
Mating
Networks in Steady State Genetic Algorithms are Scale Free
(Page 1423)
Wu, H.
Does
Overfitting Affect Performance in Estimation of Distribution Algorithms
(Page 433)
Wu, K.-c.
Evolutionary
Interactive Music Composition (Page 1863)
Wu, Q.
Distributed
Genetic Algorithm for Energy-Efficient Resource Management in Sensor
Networks (Page 1425)
Wu, T.-y.
Evolutionary
Interactive Music Composition (Page 1863)
Wurst, M.
Information
Preserving Multi-Objective Feature Selection for Unsupervised Learning
(Page 1545)
Xiao,
J.
Reformulation
of the Generation of Conformance Testing Sequences to the Asymmetric
Travelling Salesman Problem (Page 1933)
Xiaomin, S.
Probabilistic
Modeling for Continuous EDA with Boltzmann Selection and Kullback-Leibeler
Divergence (Page 389)
Xu, Y.-L.
A
GA-ACO-Local Search Hybrid Algorithm for Solving Quadratic Assignment
Problem (Page 599)
Yan,
W.
Behavioural
GP Diversity for Dynamic Environments: an application in hedge fund
investment (Page 1817)
Yanase, T.
Evolutionary
Motion Design for Humanoid Robots (Page 1825)
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Yang, S.
A
Comparative Study of Immune System Based Genetic Algorithms in Dynamic
Environments (Page 1377)
Dominance
Learning in Diploid Genetic Algorithms for Dynamic Optimization Problems
(Page 1435)
Yang, Z.
Multi-Objective
PID-Controller Tuning for a Magnetic Levitation System using NSGA-II
(Page 1737)
Yoon, Y.
Generalized
Cycle Crossover for Graph Partitioning (Page 1421)
Geometric
Crossover for Multiway Graph Partitioning (Page 1217)
Yu, T.-L.
Conquering
Hierarchical Difficulty by Explicit Chunking: Substructural Chromosome
Compression (Page 1385)
Yue, X.
A
New Multi-Objective Evolutionary Algorithm for Solving High Complex
Multi-Objective Problems (Page 745)
Yunpeng, C.
Probabilistic
Modeling for Continuous EDA with Boltzmann Selection and Kullback-Leibeler
Divergence (Page 389)
Zabel,
A.
Optimizing
of NC Tool Paths for Five-Axis Milling using Evolutionary Algorithms
on Wavelets (Page 1809)
Zahrani, M.
S.
Genetic
Local Search for Multicast Routing (Page 615)
Zelinka, I.
Investigation
on Artificial Ant using Analytic Programming (Page
949)
Zell, A.
Comparing
Evolutionary Algorithms on the Problem of Network Inference
(Page 305)
Zeng, S.
Both
Robust Computation and Mutation Operation in Dynamic Evolutionary
Algorithm are Based on Orthogonal Design (Page 1437)
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Zhan, Y.
The
State Problem for Test Generation in Simulink (Page
1941)
Zhang, M.
Algebraic
Simplification of GP Programs During Evolution (Page
927)
Zhang, Y.
Design
Synthesis of Microelectromechanical Systems Using Genetic Algorithms
with Component-Based Genotype Representation (Page
731)
Zhang, H.
Effective
Genetic Approach for Optimizing Advanced Planning and Scheduling in
Flexible Manufacturing System (Page 1841)
Zhang, Q.
Evolving
Musical Performance Profiles Using Genetic Algorithms with Structural
Fitness (Page 1833)
Zhong, X.
Growth
of Self-Canceling Code in Evolutionary Systems (Page
223)
Zimmerman, M.
High-Order
Punishment and the Evolution of Cooperation (Page 379)
Zincir-Heywood,
N.
On
Evolving Buffer Overflow Attacks Using Genetic Programming
(Page 1667)
Zrncic, C. M.
An
Ant-Based Algorithm for Finding Degree-Constrained Minimum Spanning
Tree (Page 11)
Zufferey, G.
A
Dynamically Constrained Genetic Algorithm For Hardware-software Partitioning
(Page 769)
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