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GECCO
2007
Springer
213views Optimization» more  GECCO 2007»
15 years 2 months ago
Aspects of adaptation in natural and artificial evolution
This work addresses selected aspects of natural evolution, especially of the field of population genetics, that are considered to be meaningful for algorithmic further development...
Michael Affenzeller, Stefan Wagner 0002, Stephan M...
GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
15 years 4 months ago
Acquiring evolvability through adaptive representations
Adaptive representations allow evolution to explore the space of phenotypes by choosing the most suitable set of genotypic parameters. Although such an approach is believed to be ...
Joseph Reisinger, Risto Miikkulainen
GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
15 years 4 months ago
Objective fitness correlation
This paper introduces the Objective Fitness Correlation, a new tool to analyze the evaluation accuracy of coevolutionary algorithms. Accurate evaluation is an essential ingredient...
Edwin D. de Jong
GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
15 years 4 months ago
A NSGA-II, web-enabled, parallel optimization framework for NLP and MINLP
Engineering design increasingly uses computer simulation models coupled with optimization algorithms to find the best design that meets the customer constraints within a time con...
David J. Powell, Joel K. Hollingsworth
GECCO
2007
Springer
191views Optimization» more  GECCO 2007»
15 years 4 months ago
Particle swarm guided evolution strategy
Evolution strategy (ES) and particle swarm optimization (PSO) are two of the most popular research topics for tackling real-parameter optimization problems in evolutionary computa...
Chang-Tai Hsieh, Chih-Ming Chen, Ying-Ping Chen