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73
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GECCO
2007
Springer
200views Optimization» more  GECCO 2007»
15 years 4 months ago
Performance analysis of niching algorithms based on derandomized-ES variants
A survey of niching algorithms, based on 5 variants of derandomized Evolution Strategies (ES), is introduced. This set of niching algorithms, ranging from the very first derandom...
Ofer M. Shir, Thomas Bäck
GECCO
2007
Springer
149views Optimization» more  GECCO 2007»
15 years 4 months ago
Environment as a spatial constraint on the growth of structural form
We explore the use of the developmental environment as a spatial constraint on a model of Artificial Embryogeny, applied to the growth of structural forms. A Deva model is used t...
Taras Kowaliw, Peter Grogono, Nawwaf N. Kharma
GECCO
2007
Springer
185views Optimization» more  GECCO 2007»
15 years 4 months ago
SNDL-MOEA: stored non-domination level MOEA
There exist a number of high-performance Multi-Objective Evolutionary Algorithms (MOEAs) for solving MultiObjective Optimization (MOO) problems; two of the best are NSGA-II and -M...
Matt D. Johnson, Daniel R. Tauritz, Ralph W. Wilke...
72
Voted
GECCO
2007
Springer
137views Optimization» more  GECCO 2007»
15 years 4 months ago
Learning and anticipation in online dynamic optimization with evolutionary algorithms: the stochastic case
The focus of this paper is on how to design evolutionary algorithms (EAs) for solving stochastic dynamic optimization problems online, i.e. as time goes by. For a proper design, t...
Peter A. N. Bosman, Han La Poutré
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
15 years 4 months ago
Self-adaptive simulated binary crossover for real-parameter optimization
Simulated binary crossover (SBX) is a real-parameter recombination operator which is commonly used in the evolutionary algorithm (EA) literature. The operator involves a parameter...
Kalyanmoy Deb, Karthik Sindhya, Tatsuya Okabe