Evolutionary Strategies and Evolutionary Programming
On the Impact of Objective Function Transformations on Evolutionary and Black-Box Algorithms
(page 833)
T. Storch (University of Dortmund)
Theoretical Analysis of a Mutation-Based Evolutionary Algorithm
for a Tracking Problem in the Lattice
(page 841)
T. Jansen, U. Schellbach (Universität Dortmund)
Rigorous
Runtime Analysis of a (µ+1) ES for the Sphere Function
(page
849)
J. Jägersküpper, C. Witt
(University of Dortmund)
Local and Global Order 3/2 Convergence of a Surrogate Evolutionary Algorithm
(page 857)
A. Auger (Institute of Technology ETH)
M. Schoenauer, O. Teytaud (Université Paris-Sud)
Counteracting
Genetic Drift and Disruptive Recombination in (µ+,λ)-EA
on Multimodal Fitness Landscapes
(page
865)
M. Preuss, L. Schönemann
(University of Dortmund)
M. Emmerich (Leiden Institute
for Advanced Computer Science (LIACS))
Efficient Differential Evolution using Speciation for Multimodal Function Optimization
(page 873)
X. Li (RMIT University)
A Differential Evolution Based Incremental Training Method
for RBF Networks
(page 881)
J. Liu, J. Lampinen (Lappeenranta University of Technology)
Simple Addition of Ranking Method for Constrained Optimization
in Evolutionary Algorithms
(page 889)
P. Y. Ho, K. Shimizu (Kyushu Institute of Technology)
Morphing Methods in Evolutionary Design Optimization
(page 897)
(Return
to Top)
M. Nashvili (University of Birmingham)
M. Olhofer, B. Sendhoff (Honda Research Institute Europe GmbH)
Evolutionary Strategies for Multi-Scale Radial Basis Function
Kernels in Support Vector Machines
(page 905)
T. Phienthrakul, B. Kijsirikul (Chulalongkorn University)
Evolutionary Strategies and Evolutionary Programming:
Posters
Niching in Evolution Strategies
(page 915)
O. M. Shir, T. Bäck (Universiteit Leiden)
A Mutation Operator for Evolution Strategies to Handle
Constrained Problems
(page 917)
O. Kramer, C.-K. Ting, H. K. Büning (University of Paderborn)
Using Gene Deletion and Gene Duplication in Evolution Strategies
(page 919)
K. Schmitt (University of Dortmund)
Comparative Evaluation of Parallelization Strategies
for Evolutionary and Stochastic Heuristics
(page 921)
S. M. Sait, S. Sanaullah, A. M. Zaidi, M. I. Ali (King Fahd University of Petroleum & Minerals)
Optimal Number of Evolution Strategies Mutation Step Sizes in Dynamic Environments
(page 923)
L. Schönemann (University of Dortmund)
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