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» On the Brittleness of Evolutionary Algorithms
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EVOW
2004
Springer
15 years 11 months ago
Constructing Dynamic Optimization Test Problems Using the Multi-objective Optimization Concept
Abstract. Dynamic optimization using evolutionary algorithms is receiving increasing interests. However, typical test functions for comparing the performance of various dynamic opt...
Yaochu Jin, Bernhard Sendhoff
AE
2003
Springer
15 years 11 months ago
A Clustering Based Niching EA for Multimodal Search Spaces
Abstract. We propose a new niching method for Evolutionary Algorithms which is able to identify and track global and local optima in a multimodal search space. To prevent the loss ...
Felix Streichert, Gunnar Stein, Holger Ulmer, Andr...
EVOW
2003
Springer
15 years 11 months ago
Evolving Motion of Robots with Muscles
The objective of this work is to investigate how effective smart materials are for generating the motion of a robot. Because of the unique method of locomotion, an evolutionary alg...
Siavash Haroun Mahdavi, Peter J. Bentley
GECCO
2003
Springer
167views Optimization» more  GECCO 2003»
15 years 11 months ago
Dimensionality Reduction via Genetic Value Clustering
Abstract. Feature extraction based on evolutionary search offers new possibilities for improving classification accuracy and reducing measurement complexity in many data mining and...
Alexander P. Topchy, William F. Punch
GECCO
2009
Springer
127views Optimization» more  GECCO 2009»
15 years 11 months ago
Evo_indent interactive evolution of GNU indent options
Evo Indent http://www.dcs.kcl.ac.uk/staff/W.Langdon/ evo_indent/ is a PHP web server based user driven genetic algorithm which finds good C code layouts generated by GNU indent. ...
William B. Langdon