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Ha, J.-W.
Evolutionary Hypernetwork Models for Aptamer-Based Cardiovascular Disease Diagnosis
(Page 2709)
Haag, C. R.
An Artificial Immune System-Inspired Multiobjective Evolutionary Algorithm with Application to the Detection of Distributed Computer Network Intrusions
(Page 2717)
Haake, P.
Feature Selection and Classification in Noisy Epistatic Problems using a Hybrid Evolutionary Approach
(Page 1872)
Haasdijk, E.
Balancing Quality and Quantity in Evolving Agent Systems
(Page 335)
Haddow, P. C.
Achieving a Simple Development Model for 3D Shapes: Are Chemicals Necessary?
(Page 1013)
Hadjam, F. Z.
Cluster-based Evolutionary Design of Digital Circuits using Improved Multi-Expression Programming
(Page 2475)
Halavati, R.
An Artificial Immune System with Partially Specified Antibodies
(Page 57)
Symbiotic Tabu Search
(Page 1515)
Halliday, D. M.
Coevolution of Intelligent Agents using Cartesian Genetic Programming
(Page 269)
A Developmental Model of Neural Computation Using Cartesian Genetic Programming
(Page 2535)
Halma, A.
Adaptive Markov Recombination Genetic Engineering with Active Partial Solution Preservation
(Page 1516)
Hamann, A.
Efficient Priority Optimization in Complex Distributed Embedded Systems through Search Space Adaptation
(Page 1517)
Hanada, Y.
Genetic Multi-Step Search in Interpolation and Extrapolation Domain
(Page 1242)
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Hanna, S.
Defining Implicit Objective Functions for Design Problems
(Page 2013)
Harada, K.
Uniform Sampling of Local Pareto-Optimal Solution Curves by Pareto Path Following and its Applications in Multi-objective GA
(Page 813)
Harding, S.
Self-Modifying Cartesian Genetic Programming
(Page 1021)
Hardung, B.
Self-Adaptive Ant Colony Optimisation Applied to Function Allocation in Vehicle Networks
(Page 1991)
Harman, M.
A Multi-Objective Approach to Search-Based Test Data Generation
(Page 1098)
Pareto Optimal Search Based Refactoring at the Design Level
(Page 1106)
The Multi-Objective Next Release Problem
(Page 1129)
Harrington, K.
Predicting Reactions from Amino Acid Sequences in S. cerevisiae: an Evolutionary Computation Approach
(Page 2725)
Harrison, G. A.
Genetically Programmed Learning Classifier System Description and Results
(Page 2729)
Hartmann, A. K.
Hybrid Evolutionary Algorithms on Minimum Vertex Cover for Random Graphs
(Page 547)
Obtaining Ground States of Ising Spin Glasses via Optimizing Bonds Instead of Spins
(Page 628)
Hashimoto, M.
Program Search with Simulated Annealing
(Page 1754)
Hashmi, B.
Extended Thymus Action for Reducing False Positives in AIS Based Network Intrusion Detection Systems
(Page 182)
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Hauschild, M.
Analyzing Probabilistic Models in Hierarchical BOA on Traps and Spin Glasses
(Page 523)
Hayes, L. J.
XCS for Adaptive User-Interfaces
(Page 1876)
Hazan, A.
Inducing a Generative Expressive Performance Model using a Sequential-Covering Genetic Algorithm
(Page 2159)
He, J.
Approximating Covering Problems by Randomized Search Heuristics Using Multi-Objective Models
(Page 797)
A Comparison of GAs using Penalizing Infeasible Solutions and Repairing Infeasible Solutions on Restrictive Capacity Knapsack Problem
(Page 1518)
Hebbinghaus, N.
Do Additional Objectives Make a Problem Harder?
(Page 765)
Approximating Covering Problems by Randomized Search Heuristics Using Multi-Objective Models
(Page 797)
Rigorous Analyses of Simple Diversity Mechanisms
(Page 1219)
Heckendorn, R. B.
Extended Probe Method for Linkage Discovery over High-cardinality Alphabets
(Page 1484)
Heien, E. M.
Investigation of Mutation Operators for the Bayesian Optimization Algorithm
(Page 625)
Hendizadeh, S. H.
Bicriteria Two-Machine Flowshop Scheduling using Metaheuristics
(Page 909)
Hengjie, S.
Fuzzy Cognitive Map Learning Based on Multi-Objective Particle Swarm Optimization
(Page 339)
Henrici, F.
Synthesis of Analog Filters on an Evolvable Hardware Platform using a Genetic Algorithm
(Page 190)
Heravi, M. J.
An Artificial Immune System with Partially Specified Antibodies
(Page 57)
Symbiotic Tabu Search
(Page 1515)
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Hernández-Díaz, A. G.
Alternative Techniques to Solve Hard Multi-Objective Optimization Problems
(Page 757)
Herrmann, F.
A Chain-Model Genetic Algorithm for Bayesian Network Structure Learning
(Page 1264)
Heywood, M.
Learning Recursive Programs with Cooperative Coevaluation of Genetic Code Mapping and Genotype
(Page 1053)
Pareto-Coevolutionary Genetic Programming for Problem Decomposition in Multi-Class Classification
(Page 464)
Hidalgo, I.
Is the Island Model Fault Tolerant?
(Page 1519)
Hidalgo, J. I.
Is the Island Model Fault Tolerant?
(Page 2737)
Hilder, J. A.
An Evolutionary Platform for Developing Next-Generation Electronic Circuits
(Page 2483)
Hippolyte, J.-L.
A Self-adaptive Multiagent Evolutionary Algorithm for Electrical Machine Design
(Page 1250)
Hirasawa, K.
GARS: An Improved Genetic Algorithm with Reserve Selection for Global Optimization
(Page 1173)
Effects of Passenger's Arrival Distribution to Double-deck Elevator Group Supervisory Control Systems using Genetic Network Programming
(Page 1476)
Trading Rules on Stock Markets Using Genetic Network Programming with Sarsa Learning
(Page 1503)
Genetic Network Programming with Parallel Processing for Association Rule Mining in Large and Dense Databases
(Page 1512)
Association Rule Mining for Continuous Attributes using Genetic Network Programming
(Page 1758)
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Hirasawa, K.
Genetic Network Programming with Actor-Critic and Its Application to Stock Trading Model
(Page 2263)
Hiroyasu, T.
Investigation of Mutation Operators for the Bayesian Optimization Algorithm
(Page 625)
Multiobjective Clustering with Automatic k-determination for Large-scale Data: Scalable automatic determination of the number of clusters
(Page 861)
Discussion of Parallel Model of Multi-Objective Genetic Algorithms on Heterogeneous Computational Resources
(Page 904)
Genetic Multi-Step Search in Interpolation and Extrapolation Domain
(Page 1242)
Hirsbrunner, B.
Collaborative Evolutionary Algorithms for Combinatorial Optimization
(Page 1511)
Hirsch, L.
Evolving Lucene Search Queries for Text Classification
(Page 1604)
Hirsch, R.
Evolving Lucene Search Queries for Text Classification
(Page 1604)
Hirst, J. D.
Automated Alphabet Reduction Method with Evolutionary Algorithms for Protein Structure Prediction
(Page 346)
Ho, N. B.
Using Evolutionary Computation and Local Search for Solving Multi-objective Flexible Job Shop Problems
(Page 821)
Hoai, N. X.
PSO with Randomized Low-Discrepancy Sequences
(Page 173)
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Hobbelman, M. C.
Autonomous Selection in Evolutionary Algorithms
(Page 1506)
Hogeweg, P.
The Role of Speciation in Spatial Coevolutionary Function Approximation
(Page 2437)
Holden, N.
A Hybrid PSO/ACO Algorithm for Classification
(Page 2745)
Holland, O.
Nonlinear Dynamics Modelling for Controller Evolution
(Page 324)
Hollingsworth, J.
A NSGA-II, Web-Enabled, Parallel Optimization Framework for NLP and MINLP
(Page 2145)
Hopkinson, K. M.
Multiobjective Evolutionary Algorithms for Designing Capacitated Network Centric Communications—Track: Evolutionary Multiobjective Optimization
(Page 905)
Horn, J.
Optimal Nesting of Species for Exact Cover of Resources: Two Against Many
(Page 448)
Horta, N.
Automatic Analog IC Layout Generation Based on an Evolutionary Computation Approach
(Page 2261)
Hosny, M. I.
Single Vehicle Pickup and Delivery with Time Windows: Made to Measure Genetic Encoding and Operators
(Page 2489)
Houmanfar, R.
XCS for Adaptive User-Interfaces
(Page 1876)
Hřverstad, B. A.
Revisiting the Personal Satellite Assistant: Neuroevolution with a Modified Enforced Sub-Populations Algorithm
(Page 2021)
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Howard, D. M.
Evolution of Adult Male Oral Tract Shapes for Close and Open Vowels
(Page 2751)
Hoye, J.
Achieving a Simple Development Model for 3D Shapes: Are Chemicals Necessary?
(Page 1013)
Hsieh, C.-T.
Particle Swarm Guided Evolution Strategy
(Page 650)
Hu, J.
Effects of Passenger's Arrival Distribution to Double-deck Elevator Group Supervisory Control Systems using Genetic Network Programming
(Page 1476)
Trading Rules on Stock Markets Using Genetic Network Programming with Sarsa Learning
(Page 1503)
Genetic Network Programming with Parallel Processing for Association Rule Mining in Large and Dense Databases
(Page 1512)
Association Rule Mining for Continuous Attributes using Genetic Network Programming
(Page 1758)
Genetic Network Programming with Actor-Critic and Its Application to Stock Trading Model
(Page 2263)
GARS: An Improved Genetic Algorithm with Reserve Selection for Global Optimization
(Page 1173)
Hua, X.
Cross Entropy and Adaptive Variance Scaling in Continuous EDA
(Page 609)
Hubbard, S. J.
Peptide Detectability Following ESI Mass Spectrometry: Prediction using Genetic Programming
(Page 2219)
Hung, P.-C.
Characteristic Determination for Solid State Devices with Evolutionary Computation: A Case Study
(Page 2029)
Hwang, I.
Overcoming Barriers by a Cluster-Moving Genetic Algorithm
(Page 1520)
Hyde, M.
Automatic Heuristic Generation with Genetic Programming: Evolving a Jack-of-all Trades or a Master of One
(Page 1559)
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Ibrahim, R. N.
Adopting Dynamic Operators in a Genetic Algorithm
(Page 1533)
Iclănzan, D.
Crossover: The Divine Afflatus in Search
(Page 2497)
Overcoming Hierarchical Difficulty by Hill-Climbing the Building Block Structure
(Page 1256)
Ioannides, C.
Investigating Scaling of an Abstracted LCS Utilising Ternary and S-Expression Alphabets
(Page 2759)
Isaacs, J. C.
Evolutionary Computation-based Kernel Optimal Component Analysis for Pattern Recognition
(Page 2258)
Ishibuchi, H.
Effects of the Use of Non-Geometric Binary Crossover on Evolutionary Multi-objective Optimization
(Page 829)
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Jackson, D.
Hierarchical Genetic Programming Based on Test Input Subsets
(Page 1612)
Janikow, C. Z.
Evolving Problem Heuristics with On-line ACGP
(Page 2503)
Jansen, T.
Stability in the Self-Organized Evolution of Networks
(Page 931)
Computational Complexity and Evolutionary Computation
(Page 3225)
Analysis of Evolutionary Algorithms for the Longest Common Subsequence Problem
(Page 939)
A Building-Block Royal Road Where Crossover is Provably Essential
(Page 1452)
Jaroš, J.
Migration of Probabilistic Models for Island-Based Bivariate EDA Algorithm
(Page 631An Evolutionary Approach to Collective Communication Scheduling
(Page 2037)
Jashmi, B. J.
An Artificial Immune System with Partially Specified Antibodies
(Page 57)
Symbiotic Tabu Search
(Page 1515)
Jaśkowski, W.
Genetic Programming for Cross-Task Knowledge Sharing
(Page 1620)
Knowledge Reuse in Genetic Programming Applied to Visual Learning
(Page 1790)
Jenabi, M.
A Hybrid GA for a Supply Chain Production Planning Problem
(Page 2045)
Jiang, M. K.
MILCS: A Mutual Information Learning Classifier System
(Page 1877)
MILCS: A Mutual Information Learning Classifier System
(Page 2945)
Jiménez-López, M. D.
Agent-Environment Interaction in a Multi-Agent System: A Formal Model
(Page 2607)
Jin, M.-H.
A Genetic Algorithm for Resident Physician Scheduling Problem
(Page 2203)
Jin, Y.
Global Multiobjective Optimization via Estimation of Distribution Algorithm with Biased Initialization and Crossover
(Page 617)
A Study on Metamodeling Techniques, Ensembles, and Multi-Surrogates in Evolutionary Computation
(Page 1288)
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Jing, N.
A Multi-Objective Imaging Scheduling Approach for Earth Observing Satellites
(Page 2211)
Johannsen, D.
Adjacency List Matchings — An Ideal Genotype for Cycle Covers
(Page 1203)
Johnson, C.
A Genetic Algorithm for Coverage Problems
(Page 1521)
Johnson, C. G.
Particle Swarm and Bayesian Networks Applied to Attribute Selection for Protein Functional Classification
(Page 2651)
Johnson, M. D.
SNDL-MOEA: Stored Non-Domination Level MOEA
(Page 837)
Jones, L. W.
Automated Synthesis of a Fixed-Length Loaded Symmetric Dipole Antenna Whose Gain Exceeds That of a Commercial Antenna and Matches the Theoretical Maximum
(Page 2074)
Jonyer, I.
Towards an Optimal Restart Strategy for Genetic Programming
(Page 1757)
Joost, R.
High Quality Offset Printing – An Evolutionary Approach
(Page 2053)
Jourdan, L.
A Comparison of PSO and GA Approaches for Gene Selection and Classification of Microarray Data
(Page 427)
Júnior, D. L. P.
Improving Global Numerical Optimization using a Search-space Reduction Algorithm
(Page 1195)
Jursa, R.
Variable Selection for Wind Power Prediction using Particle Swarm Optimization
(Page 2059)
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Kabli, R.
A Chain-Model Genetic Algorithm for Bayesian Network Structure Learning
(Page 1264)
Kalapala, R.
Hybrid Evolutionary Algorithms on Minimum Vertex Cover for Random Graphs
(Page 547)
Kalapala, R.
Dependency Trees, Permutations, and Quadratic Assignment Problem
(Page 629)
Kanlikilicer, A. E.
Experimental Analysis of Binary Differential Evolution in Dynamic Environments
(Page 2509)
Kao, C.-Y.
A Genetic Algorithm for Resident Physician Scheduling Problem
(Page 2203)
Karani, S. A.
Combining Bond-Graphs with Genetic Programming for Unified/Automated Design of Mechatronic or Multi Domain Dynamic Systems
(Page 2515)
Karthik, S.
Self-Adaptive Simulated Binary Crossover for Real-Parameter Optimization
(Page 1187)
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Kassahun, Y.
A Common Genetic Encoding for Both Direct and Indirect Encoding of Networks
(Page 1029)
Keedwell, E.
Gene Finding and Rule Discovery With a Multi-Objective Neural-Genetic Hybrid
(Page 428)
Keles, A.
Experimental Analysis of Binary Differential Evolution in Dynamic Environments
(Page 2509)
Binary Differential Evolution for the Unit Commitment Problem
(Page 2765)
Kell, D. B.
Peptide Detectability Following ESI Mass Spectrometry: Prediction using Genetic Programming
(Page 2219)
Keller, R. E.
Linear Genetic Programming of Metaheuristics
(Page 1753)
Kelly, C.
Quality Time Tradeoff Operator for Designing Efficient Multi Level Genetic Algorithms
(Page 1527)
Kendall, G.
Automatic Heuristic Generation with Genetic Programming: Evolving a Jack-of-all Trades or a Master of One
(Page 1559)
Kersting, P.
ICSPEA: Evolutionary Five-Axis Milling Path Optimisation
(Page 2122)
Khalifa, Y. M. A.
Multi-objective Optimization Tool for a Free Structure Analog Circuits Design Using Genetic Algorithms and Incorporating Parasitics
(Page 2527)
Evolutionary Music Composer Integrating Formal Grammar
(Page 2519)
Khan, A. A.
A Particle Swarm Algorithm for Symbols Detection in Wideband Spatial Multiplexing Systems
(Page 63)
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Khan, B. K.
Evolutionary Music Composer Integrating Formal Grammar
(Page 2519)
Multi-objective Optimization Tool for a Free Structure Analog Circuits Design Using Genetic Algorithms and Incorporating Parasitics
(Page 2527)
Khan, G. M.
Coevolution of Intelligent Agents using Cartesian Genetic Programming
(Page 269)
A Developmental Model of Neural Computation Using Cartesian Genetic Programming
(Page 2535)
Kharbat, F.
Mining Breast Cancer Data with XCS
(Page 2066)
Kharma, N.
Environment as a Spatial Constraint on the Growth of Structural Form
(Page 1037)
Khor, S.
Hill Climbing on Discrete HIFF: Exploring the Role of DNA Transposition in Long-term Artificial Evolution
(Page 277)
On Solving Hierarchical Problems with Top Down Control
(Page 2543)
Khosia, A.
Particle Swarm Optimization for Fuzzy Models
(Page 3283)
Khoury, M.
Learning Dynamic Models of Compartment Systems by Combining Symbolic Regression with Fuzzy Vector Envisionment
(Page 2769)
Kiani, M.
Extended Thymus Action for Reducing False Positives in AIS Based Network Intrusion Detection Systems
(Page 182)
Kim, DE.
A Quantitative Analysis of Memory Requirement and Generalization Performance for Robotic Tasks
(Page 285)
Kim, M.
A Doubly Distributed Genetic Algorithm for Network Coding
(Page 1272)
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Kim, S.-C.
Evolutionary Hypernetwork Models for Aptamer-Based Cardiovascular Disease Diagnosis
(Page 2709)
Kim, Y.-H.
Overcoming Barriers by a Cluster-Moving Genetic Algorithm
(Page 1520)
Geometric Crossovers for Real-code Representation
(Page 1539)
Kimbrough, S. O.
On Repair by Binary Interpolation: A Genetic Operator Having Offspring at a Constraint Transition
(Page 1522)
Kiper, J. D.
Optimizing the V&V Process for Critical Systems
(Page 1139)
Kirchner, F.
A Common Genetic Encoding for Both Direct and Indirect Encoding of Networks
(Page 1029)
Kirley, M.
Swarming with Logic
(Page 184)
An Analysis of the Events of Population Structure on Scalable Multiobjective Optimization Problems
(Page 845)
Performance Measures and Particle Swarm Methods for Dynamic Multiobjective Optimization Problems
(Page 907)
Klausner, A.
An Improved Genetic Algorithm for Task Allocation in Distributed Embedded Systems
(Page 1534)
Kleeman, M. P.
Multiobjective Evolutionary Algorithms for Designing Capacitated Network Centric Communications—Track: Evolutionary Multiobjective Optimization
(Page 905)
Klein, C.
Do Additional Objectives Make a Problem Harder?
(Page 765)
Klein, J.
Division Blocks and the Open-Ended Evolution of Development, Form, and Behavior
(Page 316)
Unwitting Distributed Genetic Programming via Asynchronous JavaScript and XML
(Page 1628)
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Knight, J. N.
Reducing the Space-Time Complexity of the CMA-ES
(Page 658)
Knoester, D. B.
Using Group Selection to Evolve Leadership in Populations of Self-Replicating Digital Organisms
(Page 293)
Knowles, J.
Techniques for Highly Multiobjective Optimisation: Some Nondominated Points are Better than Others
(Page 773)
Ko, R.-S.
An Effective Genetic Algorithm for Improving Wireless Sensor Network Lifetime
(Page 2260)
Kobayashi, S.
Uniform Sampling of Local Pareto-Optimal Solution Curves by Pareto Path Following and its Applications in Multi-objective GA
(Page 813)
A Genetic Algorithm for Privacy Preserving Combinatorial Optimization
(Page 1372)
Koch, P.
Self-Adaptive Partially Mapped Crossover
(Page 1523)
Koduru, P.
A Particle Swarm Optimization Approach for Estimating Parameter Confidence Regions
(Page 70)
Multi-Objective Hybrid PSO Using a Σ-Fuzzy Dominance
(Page 853)
Discovering Structures in Gene Regulatory Networks Using Genetic Programming and Particle Swarms
(Page 1750)
A Multi-objective Approach for the Prediction of Loan Defaults
(Page 2129)
Kok, S.
Reference Frame and Scale Invariant Real-parameter Genetic and Differential Evolution Algorithms
(Page 1538)
A Strongly Interacting Dynamic Particle Swarm Optimization Method
(Page 183)
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Kókai, G.
Self-Adaptive Ant Colony Optimisation Applied to Function Allocation in Vehicle Networks
(Page 1991)
Konar, A.
Kernel Based Automatic Clustering Using Modified Particle Swarm Optimization Algorithm
(Page 2)
Kordon, A.
Industrial Evolutionary Computing
(Page 3297)
Kotanchek, M.
Industrial Evolutionary Computing
(Page 3297)
Kovacs, T.
UCSpv: Principled Voting in UCS Rule Populations
(Page 1774)
Toward a Better Understanding of Rule Initialisation and Deletion
(Page 2777)
Bayesian Estimation of Rule Accuracy in UCS
(Page 2831)
Kowaliw, T.
Environment as a Spatial Constraint on the Growth of Structural Form
(Page 1037)
Kowall, C. A.
A Simulation of Evolved Autotrophic Reproduction
(Page 340)
A Simulation of Evolved Autotrophic Reproduction
(Page 2781)
Koza, J. R.
Automated Synthesis of a Fixed-Length Loaded Symmetric Dipole Antenna Whose Gain Exceeds That of a Commercial Antenna and Matches the Theoretical Maximum
(Page 2074)
Introduction to Genetic Programming
(Page 3323)
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Kramer, O.
Sex and Death: Towards Biologically Inspired Heuristics for Constraint Handling
(Page 666)
An Experimental Analysis of Evolution Strategies and Particle Swarm Optimisers using Design of Experiments
(Page 674)
Self-Adaptive Partially Mapped Crossover
(Page 1523)
Krasnogor, N.
Automated Alphabet Reduction Method with Evolutionary Algorithms for Protein Structure Prediction
(Page 346)
Krawiec, K.
Hybrid Coevolutionary Algorithms vs. SVM Algorithms
(Page 456)
On the Number of Subpopulations in Coevolutionary Computation: A Database Application
(Page 489)
Genetic Programming for Cross-Task Knowledge Sharing
(Page 1620)
Knowledge Reuse in Genetic Programming Applied to Visual Learning
(Page 1790)
Krčah, P.
Evolving Virtual Creatures Revisited
(Page 341)
Krent, B. J.
A Simulation of Evolved Autotrophic Reproduction
(Page 340)
A Simulation of Evolved Autotrophic Reproduction
(Page 2781)
Küçükural, A.
Evolutionary Selection of Minimum Number of Features for Classification of Gene Expression Data Using Genetic Algorithms
(Page 401)
Kudenko, D.
Analyzing Heuristic Performance with Response Surface Models: Prediction, Optimization and Robustness
(Page 150)
Screening the Parameters Affecting Heuristic Performance
(Page 180)
Kumar, A.
Interactive Evolutionary Multi-Objective Optimization and Decision-Making using Reference Direction Method
(Page 781)
Kumar, R.
Multiobjective Network Design for Realistic Traffic Models
(Page 1904)
On Quality Performance of Heuristic and Evolutionary Algorithms for Biobjective Minimum Spanning Trees
(Page 2259)
Evolutionary Multiobjective Combinatorial Optimization (EMCO)
(Page 3366)
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