 |
|
|
|
Author Index
Jacob,
J.
Human
Competitive Security Protocols Synthesis (Page 1855)
Jägersküpper,
J.
Probabilistic
Runtime Analysis of (1+/,λ) ES Using Isotropic Mutations
(Page 461)
Jansen, T.
On
the Local Performance of Simulated Annealing and the (1+1) Evolutionary
Algorithm (Page 469)
Jantarang, S.
Selective
Self-Adaptive Approach to Ant System for Solving Unit Commitment Problem
(Page 1729)
Ji, Z.
Applicability
Issues of the Real-Valued Negative Selection Algorithms
(Page 111)
Jian, M.-c.
Introducing
Recombination with Dynamic Linkage Discovery to Particle Swarm Optimization
(Page 85)
|
|
(Return
to Top)
|
Jin, W. O.
Filter
Approximation Using Explicit Time and Frequency Domain Specifications
(Page 753)
Jin, N.
Indirect
Co-evolution for understanding Belief in an Incomplete Information
Dynamic Game (Page 383)
Joachimczak,
M.
Evolution
of Driving Agents, Remotely Operating a Scale Model of a Car with
Obstacle Avoidance Capabilities (Page 1785)
Johnson, C.
M.
A
Genetic Algorithm with Backtracking for Protein Structure Prediction
(Page 299)
Johnson, C.
G.
A
New Discrete Particle Swarm Algorithm Applied to Attribute Selection
in a Bioinformatics Data Set (Page 35)
Johnson, C.
M.
An
Evolutionary Approach to Camera-Based Projector Calibration
(Page 1871)
Johnson, D.
D.
Multiobjective
Genetic Algorithms for Multiscaling Excited State Direct Dynamics
in Photochemistry (Page 1745)
Jones, L. W.
Automated
Synthesis of a Human-Competitive Solution to the Challenge Problem
of the 2002 International Optical Design Conference by Means of Genetic
Programming and a Multi-Dimensional Mutation Operation
(Page 823)
Jones, J.
Comparting
Genetic Robustness in Generational vs. Steady State Evolutionary Algorithms
(Page 143)
|
|
(Return
to Top)
|
Joslin, D.
Combining
Genetic Algorithms with Squeaky-Wheel Optimization
(Page 1329)
Improving
Genetic Algorithm Performance with Intelligent Mappings from Chromosomes
to Solutions (Page 1407)
Leveraging
Domain-Expert Knowledge in a Genetic Algorithm for Civil Engineering
Design Optimization (Page 1433)
Julstrom, B.
A.
A
Genetic Algorithm for the Longest Common Subsequence Problem
(Page 609)
An
Effective Genetic Algorithm for the Minimum-Label Spanning Tree Problem
(Page 553)
Instance
Similarity and the Effectiveness of Case Injection in a Genetic Algorithm
for Binary Quadratic Programming (Page 1395)
The
Quadratic Multiple Knapsack Problem and Three Heuristic Approaches
to It (Page 547)
Kahrs,
S.
Genetic
Programming with Primitive Recursion (Page 941)
Kajendran, T.
High-Order
Punishment and the Evolution of Cooperation (Page 379)
Kamalian, R.
Design
Synthesis of Microelectromechanical Systems Using Genetic Algorithms
with Component-Based Genotype Representation (Page
731)
Kang, L.
A
New Multi-Objective Evolutionary Algorithm for Solving High Complex
Multi-Objective Problems (Page 745)
Both
Robust Computation and Mutation Operation in Dynamic Evolutionary
Algorithm are Based on Orthogonal Design (Page 1437)
Katikireddy,
A.
A
Genetic Algorithm with Backtracking for Protein Structure Prediction
(Page 299)
Kayacik, H.
G.
On
Evolving Buffer Overflow Attacks Using Genetic Programming
(Page 1667)
Kersting, P.
Optimizing
of NC Tool Paths for Five-Axis Milling using Evolutionary Algorithms
on Wavelets (Page 1809)
|
|
(Return
to Top)
|
Khalifa, Y.
Autonomous
Evolutionary Music Composer (Page 1873)
Cutting
Stock Waste Reduction Using Genetic Algorithms (Page
1675)
Kim, Y.-H.
Generalized
Cycle Crossover for Graph Partitioning (Page 1421)
Geometric
Crossover for Multiway Graph Partitioning (Page 1217)
Kim, DE.
Memory
Analysis and Significance Test for Agent Behaviours
(Page 151)
Kim, Y.-H.
Multi-Attractor
Gene Reordering for Graph Bisection (Page 1209)
Kim, M.
A
Specification-Based Fitness Function for Evolutionary Testing of Object-Oriented
Programs (Page 1953)
Kimura, H.
Multi-objective
Genetic Algorithms for Pipe Arrangement Design (Page
1869)
Kirley, M.
Dominance
Hierarchies and Social Diversity in Multi-Agent Systems
(Page 159)
Kirn, S.
Adaption
in Distributed Systems - An Evolutionary Approach (Page
199)
Kleeman, M.
P.
The
Multi-Objective Constrained Assignment Problem (Page
743)
Knowles, J.
On
Semi-Supervised Clustering via Multiobjective Optimization
(Page 1465)
|
|
(Return
to Top)
|
Ko, A. H.-R.
Evolving
Ensemble of Classifiers in Random Subspace (Page 1473)
Kobayashi, S.
Hybridization
of Genetic Algorithm and Local Search in Multiobjective Function Optimization:
Recommendation of GA then LS (Page 667)
Local
Search for Multiobjective Function Optimization: Pareto Descent Method
(Page 659)
Kohl, N.
Evolving
a Real-World Vehicle Warning System (Page 1681)
Kooi, S. B.
Clustering
the Heap in Multi-Threaded Applications for Improved Garbage Collection
(Page 1901)
Kordon, A.
Pareto
Front Genetic Programming Parameter Selection Based on Design of Experiments
and Industrial Data (Page 1613)
Kosslers, B.
High-Order
Punishment and the Evolution of Cooperation (Page 379)
Kovacs, T.
A
Representational Ecology for Learning Classifier Systems
(Page 1529)
Koza, J. R.
Automated
Synthesis of a Human-Competitive Solution to the Challenge Problem
of the 2002 International Optical Design Conference by Means of Genetic
Programming and a Multi-Dimensional Mutation Operation
(Page 823)
Krasnogor, N.
Coordination
Number Prediction Using Learning Classifier Systems: Performance and
interpretability (Page 247)
Smart
Crossover Operator with Multiple Parents for a Pittsburgh Learning
Classifier System (Page 1441)
Kuah, S.
Combining
Simplex with Niche-based Evolutionary Computation for Job-Shop Scheduling
(Page 583)
Kuipers, B.
J.
Designing
Safe, Profitable Automated Stock Trading Agents Using Evolutionary
Algorithms (Page 1777)
Kukkonen, S.
Multi-Objective
Test Problems, Linkages, and Evolutionary Methodologies
(Page 1141)
|
|
(Return
to Top)
|
Kulubekova,
S.
A
Computational Theory of Adaptive Behavior Based on an Evolutionary
Reinforcement Mechanism (Page 175)
Kumar, R.
Biobjective
Evolutionary and Heuristic Algorithms for Intersection of Geometric
Graphs (Page 1689)
Kumar Paul,
T.
Identification
of Weak Motifs in Multiple Biological Sequences using Genetic Algorithm
(Page 271)
Kuwajima, I.
Multiobjective
Genetic Rule Selection as a Data Mining Postprocessing Procedure
(Page 1591)
Kwon, Y.-K.
Nonlinear
Parametric Regression in Genetic Programming (Page
943)
Properties
of Symmetric Fitness Functions (Page 1117)
Lam,
C. P.
Reformulation
of the Generation of Conformance Testing Sequences to the Asymmetric
Travelling Salesman Problem (Page 1933)
Lamont, G. B.
A
Retrovirus Inspired Algorithm for Virus Detection & Optimization
(Page 103)
The
Multi-Objective Constrained Assignment Problem (Page
743)
Landry, J.-A.
Genetic
Programming for Agricultural Purposes (Page 783)
Relaxed
Genetic Programming (Page 937)
Lanzeni, S.
Genetic
Programming for Human Oral Bioavailability of Drugs
(Page 255)
|
|
(Return
to Top)
|
Lanzi, P. L.
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)
Standard
and Averaging Reinforcement Learning in XCS (Page 1489)
Using
Convex Hulls to Represent Classifier Conditions (Page
1481)
Large, M.
A
Genetic Algorithm with a Variable-Length Genotype and Embryogeny for
Microstructured Optical Fibre Design (Page 1721)
Lassabe, N.
Genetically
Programmed Strategies for Chess Endgame (Page 831)
Lau, W. S.
A
Hybridized Genetic Parallel Programming based Logic Circuit Synthesizer
(Page 839)
Laviada, J.
Genetic
Algorithms to Optimise the Time to Make Stock Market Investment
(Page 1857)
Lawrence, M.
Mulitobjective
Genetic Algorithms for Materialized View Selection in OLAP Data Warehouses
(Page 699)
Lee, K. H.
A
Hybridized Genetic Parallel Programming based Logic Circuit Synthesizer
(Page 839)
Lee, K.-H.
A
Splicing/Decomposable Encoding and Its Novel Operators for Genetic
Algorithms (Page 1225)
|
|
(Return
to Top)
|
Lee, G.
Genetic
Algorithms for Action Set Selection Across Domains: A Demonstration
(Page 1697)
Lehre, P. K.
On
The Effect of Populations in Evolutionary Multi-objective Optimization
(Page 651)
Leiding, J.
Multiobjective
Genetic Algorithms for Multiscaling Excited State Direct Dynamics
in Photochemistry (Page 1745)
Lemczyk, M.
Pareto-coevolutionary
Genetic Programming Classifier (Page 945)
Lenehan, P.
F.
Using
Genetic Programming to Classify Node Positive Patients in Bladder
Cancer (Page 239)
Leung, K. S.
A
Hybridized Genetic Parallel Programming based Logic Circuit Synthesizer
(Page 839)
Lewis, G.
A
Combinatorial Genetic Algorithm for the Configuration of the 2dF/AAOmega
Spectrograph at the Anglo-Australian Observatory (Page
611)
Lewis, J.
Tuning
Experiments with an Adaptive Computational Framework
(Page 1961)
Li, K.
A
New Multi-Objective Evolutionary Algorithm for Solving High Complex
Multi-Objective Problems (Page 745)
Li, Y.
A
Unified Optimization Framework for Microelectronics Industry
(Page 1875)
Li, X.
Adaptively
Choosing Niching Parameters in a PSO (Page 3)
Incorporating
Directional Information within a Differential Evolution Algorithm
for Multi-objective Optimization (Page 691)
Particle
Swarm with Speciation and Adaptation in a Dynamic Environment
(Page 51)
|
|
(Return
to Top)
|
Li, H.
Reformulation
of the Generation of Conformance Testing Sequences to the Asymmetric
Travelling Salesman Problem (Page 1933)
Li, X.
Rotated
Test Problems for Assessing the Performance of Multi-objective Optimization
Algorithms (Page 683)
Liang, Y.
A
Splicing/Decomposable Encoding and Its Novel Operators for Genetic
Algorithms (Page 1225
Automating
the Drug Scheduling with Different Toxicity Clearance in Cancer Chemotherapy
via Evolutionary Computation (Page 1705)
Lim, M.-H.
A
GA-ACO-Local Search Hybrid Algorithm for Solving Quadratic Assignment
Problem (Page 599)
Lim, M. H.
Adaptation
for Parallel Memetic Algorithm Based on Population Entropy
(Page 575)
Lim, H.
Facilitating
Neural Dynamics for Delay Compensation and Prediction in Evolutionary
Neural Networks (Page 167)
Lima, C. F.
Evaluation
Relaxation Using Substructural Information and Linear Estimation
(Page 419)
On
the Utility of the Multimodal Problem Generator for Assessing the
Performance of Evolutionary Algorithms (Page 1233)
Revisiting
Evolutionary Algorithms with On-the-Fly Population Size Adjustment
(Page 1241)
Lin, L.
A
New Approach for Shortest Path Routing Problem by Random Key-based
GA (Page 1411)
|
|
(Return
to Top)
|
Lin, R.
Mixed-Integer
Optimization of Coronary Vessel Image Analysis using Evolution Strategies
(Page 1645)
Lipson, H.
Actively
Probing and Modeling Users in Interactive Coevolution
(Page 385)
Liu, W.-N.
Adaptive
Discretization for Probabilistic Model Building Genetic Algorithms
(Page 1103)
Llorà, X.
Analyzing
Active Interactive Genetic Algorithms using Visual Analytics
(Page 1417)
Fast
Rule Matching for Learning Classifier Systems via Vector Instructions
(Page 1513)
Peptive
Data Mining: From Virtual Design to Knowledge Extraction
(Page 297)
Lluch-Revert,
L.
Towards
an Evolutionary Tool for the Allocation of Supermarket Shelf Space
(Page 1653)
Lobo, F. G.
On
the Utility of the Multimodal Problem Generator for Assessing the
Performance of Evolutionary Algorithms (Page 1233)
Revisiting
Evolutionary Algorithms with On-the-Fly Population Size Adjustment
(Page 1241)
Loiacono, D.
Classifier
Prediction based on Tile Coding (Page 1497)
Prediction
Update Algorithms for XCSF: RLS, Kalman Filter, and Gain Adaptation
(Page 1505)
Standard
and Averaging Reinforcement Learning in XCS (Page 1489)
Looks, M.
Levels
of Abstraction in Modeling and Sampling: The Feature-Based Bayesian
Optimization Algorithm (Page 429)
Loomes, M. J.
Genetic
Local Search for Multicast Routing (Page 615)
Lotto, R. B.
Modular
Thinking: Evolving Modular Neural Networks for Visual Guidance of
Agents (Page 215)
|
|
(Return
to Top)
|
Lueng, K.-S.
A
Splicing/Decomposable Encoding and Its Novel Operators for Genetic
Algorithms (Page 1225)
Automating
the Drug Scheduling with Different Toxicity Clearance in Cancer Chemotherapy
via Evolutionary Computation (Page 1705)
Luga, H.
Genetically
Programmed Strategies for Chess Endgame (Page 831)
Luke, S.
Archive-based
Cooperative Coevolutionary Algorithms (Page 345)
Lunacek, M.
A
Crossover Operator for the k-anonymity Problem (Page
1713)
PSO
and Multi-Funnel Landscapes: How cooperation might limit exploration
(Page 75)
The
Dispersion Metric and the CMA Evolution Strategy (Page
477)
Lye, K. W.
Evolving
Cooperative Behavior in a Power Market (Page 1599)
MacLeod,
A.
Hierarchically
Organised Evolution Strategies on the Parabolic Ridge
(Page 437)
Madurga, S.
Peptive
Data Mining: From Virtual Design to Knowledge Extraction
(Page 297)
Majeed, H.
Using
Context-aware Crossover to Improve the Performance of GP
(Page 847)
Malcolm, J.
A.
Genetic
Local Search for Multicast Routing (Page 615)
Mancastroppa,
A.
A
Bayesian Approach to Learning Classifier Systems in Uncertain Environments
(Page 1537)
|
|
(Return
to Top)
|
Manos, S.
A
Combinatorial Genetic Algorithm for the Configuration of the 2dF/AAOmega
Spectrograph at the Anglo-Australian Observatory (Page
611)
A
Genetic Algorithm with a Variable-Length Genotype and Embryogeny for
Microstructured Optical Fibre Design (Page 1721)
Marín-Blázquez,
J. G.
Multi-Step
Environment Learning Classifier Systems Applied to Hyper-Heuristics
(Page 1521)
Marshall, J.
A. R.
A
Representational Ecology for Learning Classifier Systems
(Page 1529)
Martin, J. G.
Spectral
Techniques for Graph Bisection in Genetic Algorithms
(Page 1249)
Martinez, T.
J.
Multiobjective
Genetic Algorithms for Multiscaling Excited State Direct Dynamics
in Photochemistry (Page 1745)
Matayoshi, M.
Extraction
of Landscape Information based on a Quality Control Approach and Its
Applications to Mutation in GA (Page 1419)
Matteucci, M.
A
Bayesian Approach to Learning Classifier Systems in Uncertain Environments
(Page 1537)
Ant
Colony Optimization Technique for Equilibrium Assignment in Congested
Transportation Networks (Page 87)
Mauri, G.
A
Quantitative Study of Neutrality in GP Boolean Landscapes
(Page 895)
Heterogeneous
Cooperative Coevolution: Strategies of Integration between GP and
GA (Page 361)
|
|
(Return
to Top)
|
Mayer, J.
Towards
Effective Adaptive Random Testing for Higher-Dimensional Input Domains
(Page 1955)
McCall, J.
Optimising
Cancer Chemotherapy Using an Estimation of Distribution Algorithm
and Genetic Algorithms (Page 413)
McConaghy, T.
Canonical
Form Functions as a Simple Means for Genetic Programming to Evolve
Human-Interpretable Functions (Page 855)
McDowell, J.
J.
A
Computational Theory of Adaptive Behavior Based on an Evolutionary
Reinforcement Mechanism (Page 175)
McIntyre, A.
MOGE:
GP Classification Problem Decomposition using Multi-objective Optimization
(Page 863)
McKay, RI.
ORDERTREE:
A New Test Problem for Genetic Programming (Page 807)
Meekhof, T.
String
Transformation-Based Bayesian Classification or Proteins
(Page 301)
Mehnen, J.
High-Order
Punishment and the Evolution of Cooperation (Page 379)
Meittinen, K.
Towards
Estimating Nadir Objective Vector Using Evolutionary Approaches
(Page 643)
Merlo, E.
A
Novel Approach to Optimize Clone Refactoring Activity
(Page 1885)
|
|
(Return
to Top)
|
Mernik, M.
Evolutionary
Search for Optimal Combinations of Markers in Clothing Manufacturing
(Page 1661)
Messina, E.
Genetic
Programming for Human Oral Bioavailability of Drugs
(Page 255)
Mezura-Montes,
E.
A
Comparative Study of Differential Evolution Variants for Global Optimization
(Page 485)
Michalski, R.
S.
The
LEM3 Implementation of Learnable Evolution Model and Its Testing on
Complex Function Optimization Problems (Page 1281)
Mierswa, I.
Evolutionary
Learning with Kernels: A Generic Solution for Large Margin Problems
(Page 1553)
Information
Preserving Multi-Objective Feature Selection for Unsupervised Learning
(Page 1545)
Miikkulainen,
R.
Coevolution
of Neural Networks using a Layered Pareto Archive (Page
329)
Evolving
a Real-World Vehicle Warning System (Page 1681)
Selecting
for Evolvable Representations (Page 1297)
Miles, N.
Estimating
Photometric Redshifts with Genetic Algorithms (Page
1593)
Miller, J. F.
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)
Milligan, S.
Genomic
Computing Networks Learn Complex POMDPs (Page 233)
|
|
(Return
to Top)
|
Miranda, E.
R.
Evolving
Musical Performance Profiles Using Genetic Algorithms with Structural
Fitness (Page 1833)
Misevicius,
A.
A
Fast Hybrid Genetic Algorithm for the Quadratic Assignment Problem
(Page 1257)
Mitchell, M.
Segmentation
of Medical Images Using a Genetic Algorithm (Page 1171)
Mitra, A. P.
Using
Genetic Programming to Classify Node Positive Patients in Bladder
Cancer (Page 239)
Mitschele, A.
Comparison
of Multi-Objective Evolutionary Algorithms in Optimizing Combinations
of Reinsurance Contracts (Page 747)
Miyagi, H.
Extraction
of Landscape Information based on a Quality Control Approach and Its
Applications to Mutation in GA (Page 1419)
Mohan, C. K.
Ensemble
Selection for Evolutionary Learning using Information Theory and Price's
Theorem (Page 1587)
Mok, T. S. K.
Automating
the Drug Scheduling with Different Toxicity Clearance in Cancer Chemotherapy
via Evolutionary Computation (Page 1705)
Molina, J.
A
New Proposal for Multi-Objective Optimzation using Differential Evolution
and Rough Sets Theory (Page 675)
Monroy, G. A.
Coevolution
of Neural Networks using a Layered Pareto Archive (Page
329)
Monson, C. K.
Adaptive
Diversity in PSO (Page 59)
|
|
(Return
to Top)
|
Montana, D.
Genomic
Computing Networks Learn Complex POMDPs (Page 233)
Montana, J.
Genomic
Computing Networks Learn Complex POMDPs (Page 233)
Moon, S.-H.
A
Hybrid Genetic Search for Multiple Sequence Alignment
(Page 303)
Moon, B.-R.
A
Hybrid Genetic Search for Multiple Sequence Alignment
(Page 303)
Generalized
Cycle Crossover for Graph Partitioning (Page 1421)
Geometric
Crossover for Multiway Graph Partitioning (Page 1217)
Multi-Attractor
Gene Reordering for Graph Bisection (Page 1209)
Nonlinear
Parametric Regression in Genetic Programming (Page
943)
Properties
of Symmetric Fitness Functions (Page 1117)
Moraglio, A.
Generalized
Cycle Crossover for Graph Partitioning (Page 1421)
Geometric
Crossover for Multiway Graph Partitioning (Page 1217)
Motsinger, A.
A.
Alternative
Cross-Over Strategies and Selection Techniques for Grammatical Evolution
Optimized Neural Networks (Page 947)
Mudry, P.-A.
A
Dynamically Constrained Genetic Algorithm For Hardware-software Partitioning
(Page 769)
Müller, H.
Optimizing
of NC Tool Paths for Five-Axis Milling using Evolutionary Algorithms
on Wavelets (Page 1809)
Munetomo, M.
A
Crossover for Complex Building Blocks Overlapping (Page
1337)
Mussone, L.
Ant
Colony Optimization Technique for Equilibrium Assignment in Congested
Transportation Networks (Page 87)
|
|
(Return
to Top)
|
Nakamura,
M.
Extraction
of Landscape Information based on a Quality Control Approach and Its
Applications to Mutation in GA (Page 1419)
Nannen, V.
A
Method for Parameter Calibration and Relevance Estimation in Evolutionary
Algorithms (Page 183)
Narukawa, K.
Incorporation
of Decision Maker's Preference into Evolutionary Multiobjective Optimization
Algorithms (Page 741)
Neteler, M.
A
Novel Approach to Optimize Clone Refactoring Activity
(Page 1885)
Nguyen, TV.
H.
An
Agent-Based Algorithm for Generalized Graph Colorings
(Page 19)
Nikanjam, A.
An
Anticipatory Approach to Improve XCSF (Page 1595)
Nishizono, T.
Reward
Allotment in an Event-driven Hybrid Learning Classifier System for
Online Soccer Games (Page 1753)
Nojima, Y.
Incorporation
of Decision Maker's Preference into Evolutionary Multiobjective Optimization
Algorithms (Page 741)
Multiobjective
Genetic Rule Selection as a Data Mining Postprocessing Procedure
(Page 1591)
Noman, N.
A
New Generation Alternation Model for Differential Evolution
(Page 1265)
Inference
of Genetic Networks using S-system: Information Criteria for Model
Selection (Page 263)
Nualhong, D.
Selective
Self-Adaptive Approach to Ant System for Solving Unit Commitment Problem
(Page 1729)
Nummela, J.
An
Effective Genetic Algorithm for the Minimum-Label Spanning Tree Problem
(Page 553)
|
|
(Return
to Top)
|
Oduguwa,
A.
Multi-Objective
Optimisation of the Protein-Ligand Docking Problem in Drug Discovery
(Page 1793)
Oesterreicher,
I.
Comparison
of Multi-Objective Evolutionary Algorithms in Optimizing Combinations
of Reinsurance Contracts (Page 747)
Oh, J. C.
An
Open-set Speaker Identification System using Genetic Learning Classifier
System (Page 1597)
Oh, C. K.
Robustness
Analysis of Genetic Programming Controllers for Unmanned Aerial Vehicles
(Page 135)
Olague, G.
Parisian
Evolution with Honeybees for Three-dimensional Reconstruction
(Page 191)
Synthesis
of Interest Point Detectors Through Genetic Programming
(Page 887)
Oliehoek, F.
A.
The
Parallel Nash Memory for Asymmetric Games (Page 337)
Oner, M. K.
Mating
Networks in Steady State Genetic Algorithms are Scale Free
(Page 1423)
Ong, Y.-S.
A
GA-ACO-Local Search Hybrid Algorithm for Solving Quadratic Assignment
Problem (Page 599)
|
|
(Return
to Top)
|
Ong, Y. S.
Adaptation
for Parallel Memetic Algorithm Based on Population Entropy
(Page 575)
Ono, I.
Hybridization
of Genetic Algorithm and Local Search in Multiobjective Function Optimization:
Recommendation of GA then LS (Page 667)
Oplatková, Z.
Investigation
on Artificial Ant using Analytic Programming (Page
949)
O'Reilly, U.-M.
Filter
Approximation Using Explicit Time and Frequency Domain Specifications
(Page 753)
Orriols-Puig,
A.
Bounding
XCS's Parameters for Unbalanced Datasets (Page 1561)
Osorio, M. A.
Hybrid
Search for Cardinality Constrained Portfolio Optimization
(Page 1865)
Ostaszewski,
M.
Immune
Anomaly Detection Enhanced with Evolutionary Paradigms
(Page 119)
Otto, S.
Adaption
in Distributed Systems - An Evolutionary Approach (Page
199)
Owens, J.
Multiobjective
Genetic Algorithms for Multiscaling Excited State Direct Dynamics
in Photochemistry (Page 1745)
|
|
(Return
to Top)
|
Palmer-Gato,
M. E.
Towards
an Evolutionary Tool for the Allocation of Supermarket Shelf Space
(Page 1653)
Panali, L.
Archive-based
Cooperative Coevolutionary Algorithms (Page 345)
Park, W.K.
An
Open-set Speaker Identification System using Genetic Learning Classifier
System (Page 1597)
Parker, A. C.
Exploring
Network Topology Evolution Through Evolutionary Computations
(Page 779)
Parmee, I. C.
Single
and Multi-objective Genetic Operators in Object-oriented Conceptual
Software Design (Page 1957)
Parreno, J.
A
Case-Study about Shift Work Managemetnt at a Hospital Emergency Department
with Genetic Algorithms (Page 1867)
Pasupuleti,
S.
The
Gregarious Particle Swarm Optimizer (G-PSO) (Page 67)
Patton, R. M.
Characterizing
Large Text Corpora Using a Maximum Variation Sampling Genetic Algorithm
(Page 1877)
Payne, J. L.
Emergent
Mating Topologies in Spatially Structured Genetic Algorithms
(Page 207)
Pedersen, G.
K. M.
Multi-Objective
PID-Controller Tuning for a Magnetic Levitation System using NSGA-II
(Page 1737)
Peifa, J.
Probabilistic
Modeling for Continuous EDA with Boltzmann Selection and Kullback-Leibeler
Divergence (Page 389)
|
|
(Return
to Top)
|
Pelikan, M.
Hierarchical
BOA on Random Decomposable Problems (Page 431)
Sporadic
Model Building for Efficiency Enhancement of Hierarchical BOA
(Page 405)
Studying
XCS/BOA Learning in Boolean Functions: Structure Encoding and Random
Boolean Functions (Page 1449)
Peng, H. L.
The
Baldwin Effect under Spatial Isolation and Autonomous Reproduction
(Page 235)
Petrovski, A.
Optimising
Cancer Chemotherapy Using an Estimation of Distribution Algorithm
and Genetic Algorithms (Page 413)
Pham, T. Q.
Credit
Assignment in Adaptive Evolutionary Algorithms (Page
1353)
Use
of Statistical Outlier Detection Method in Adaptive Evolutionary Algorithms
(Page 1345)
Philemotte,
C.
How
an Optimal Observer can Collapse the Search Space (Page
1273)
Phoomvuthisarn,
S.
Selective
Self-Adaptive Approach to Ant System for Solving Unit Commitment Problem
(Page 1729)
Pietzowski,
A.
An
Artificial Immune System and its Integration into an Organic Middleware
for Self-Protection (Page 129)
Pirola, Y.
A
Quantitative Study of Neutrality in GP Boolean Landscapes
(Page 895)
Piszcz, A.
A
Survey of Mutation Techniques in Genetic Programming
(Page 951)
Dynamics
of Evolutionary Robustness (Page 871)
Genetic
Programming: Optimal Population Size for Varying Complexity Problems
(Page 953)
|
|
(Return
to Top)
|
Pizzuti, C.
Improving
Cooperative GP Ensemble with Clustering and Pruning for Pattern Classification
(Page 791)
Poladian, L.
A
Genetic Algorithm with a Variable-Length Genotype and Embryogeny for
Microstructured Optical Fibre Design (Page 1721)
Polaszek, T.
High-Order
Punishment and the Evolution of Cooperation (Page 379)
Poli, R.
An
Empirical Investigation of How and Why Neutrality Affects Evolutionary
Search (Page 1149)
Classes
of Problems in the Black Box Scenario (Page 1401)
Generalized
Cycle Crossover for Graph Partitioning (Page 1421)
Structure
and Metaheuristics (Page 1087)
The
No Free Lunch and Realistic Search Algorithms (Page
1399)
Pollack, J.
B.
A
General Coarse-Graining Framework for Studying Simultaneous Inter-Population
Constraints Induced By Evolutionary Operations (Page
1095)
Popovici, E.
The
Effects of Interaction Frequency on the Optimization Performance of
Cooperative Coevolution (Page 353)
Potok, T. E.
Characterizing
Large Text Corpora Using a Maximum Variation Sampling Genetic Algorithm
(Page 1877)
Potter, M. A.
Robustness
in Cooperative Coevolution (Page 369)
Puechmorel,
S.
3D
Airspace Sectoring by Evolutionary Computation: Real-World Applications
(Page 1637)
|
|
(Return
to Top)
|
Puente, C.
Parisian
Evolution with Honeybees for Three-dimensional Reconstruction
(Page 191)
Puente, J.
A
Case-Study about Shift Work Managemetnt at a Hospital Emergency Department
with Genetic Algorithms (Page 1867)
Punch, W.
Crossover
Gene Selection by Spatial Location (Page 1111)
Qiu,
Q.
Distributed
Genetic Algorithm for Energy-Efficient Resource Management in Sensor
Networks (Page 1425)
Rachmawati,
L.
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)
Rahmani, A.
An
Anticipatory Approach to Improve XCSF (Page 1595)
Raidl, G. R.
Neighbourhood
Searches for the Bounded Diameter Minimum Spanning Tree Problem Embedded
in a VNS, EA, and ACO (Page 1187)
|
|
(Return
to Top)
|
Raines, R. A.
A
Retrovirus Inspired Algorithm for Virus Detection & Optimization
(Page 103)
Ramamoorthy,
S.
Designing
Safe, Profitable Automated Stock Trading Agents Using Evolutionary
Algorithms (Page 1777)
Rand, W.
The
Effect of Crossover on the Behavior of the GA in Dynamic Environments:
A Case Study using the Shaky Ladder Hyperplane-Defined Functions
(Page 1289)
Ray, I.
A
Crossover Operator for the k-anonymity Problem (Page
1713)
Reiber, J. H.
C.
Mixed-Integer
Optimization of Coronary Vessel Image Analysis using Evolution Strategies
(Page 1645)
Reimholz, R.
High-Order
Punishment and the Evolution of Cooperation (Page 379)
Reisinger, J.
Selecting
for Evolvable Representations (Page 1297)
Reyes-Sierra,
M.
Dynamic
Fitness Inheritance Proportion For Multi-Objective Particle Swarm
Optimization (Page 89)
Ribagorda, A.
Evolving
Hash Functions by Means of Genetic Programming (Page
1861)
Richards, M.
Alternative
Evolutionary Algorithms for Evolving Programs: Evolution Strategies
and Steady State GP (Page 919)
Richter, J.
N.
Strong
Recombination, Weak Selection, and Mutation (Page 1369)
|
|
(Return
to Top)
|
Riley, J.
Analysis
of the Difficulty of Learning Goal-Scoring Behaviour for Robot Soccer
(Page 1569)
Riolo, R.
The
Effect of Crossover on the Behavior of the GA in Dynamic Environments:
A Case Study using the Shaky Ladder Hyperplane-Defined Functions
(Page 1289)
Ritchie, M.
D.
Alternative
Cross-Over Strategies and Selection Techniques for Grammatical Evolution
Optimized Neural Networks (Page 947)
Ross, P.
A
GA-Based Method to Produce Generalized Hyper-heuristics for the 2D-Regular
Cutting Stock Problem (Page 591)
Rothlauf, F.
Genetic
Algorithms and Mixed Integer Linear Programs for Optimal Strategies
in a Student's "Sports" Activity (Page 1853)
The
Correlation-Triggered Adaptive Variance Scaling IDEA
(Page 397)
Roy, R.
Multi-Objective
Optimisation of the Protein-Ligand Docking Problem in Drug Discovery
(Page 1793)
Ryan, C.
Using
Context-aware Crossover to Improve the Performance of GP
(Page 847)
Ryckman, K.
K.
Alternative
Cross-Over Strategies and Selection Techniques for Grammatical Evolution
Optimized Neural Networks (Page 947)
|
