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GECCO
2004
Springer
112views Optimization» more  GECCO 2004»
14 years 2 months ago
Some Issues on the Implementation of Local Search in Evolutionary Multiobjective Optimization
This paper discusses the implementation of local search in evolutionary multiobjective optimization (EMO) algorithms for the design of a simple but powerful memetic EMO algorithm. ...
Hisao Ishibuchi, Kaname Narukawa
GECCO
2008
Springer
139views Optimization» more  GECCO 2008»
13 years 10 months ago
Evolutionary design of dynamic SwarmScapes
This paper discusses interactive evolutionary algorithms and their application in swarm-based image generation. From an artistā€™s perspective, the computer-generated patterns oļ¬...
Namrata Khemka, Scott Novakowski, Gerald Hushlak, ...
TEC
2002
120views more  TEC 2002»
13 years 8 months ago
Optimization based on bacterial chemotaxis
We present an optimization algorithm based on a model of bacterial chemotaxis. The original biological model is used to formulate a simple optimization algorithm, which is evaluate...
Sibylle D. Müller, Jarno Marchetto, Stefano A...
GECCO
2008
Springer
112views Optimization» more  GECCO 2008»
13 years 10 months ago
Parameter-less evolutionary search
The paper presents the parameter-less implementation of an evolutionary-based search. It does not need any predeļ¬ned control parameters values, which are usually used for geneti...
Gregor Papa
GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
13 years 10 months ago
Using quotient graphs to model neutrality in evolutionary search
We introduce quotient graphs for modeling neutrality in evolutionary search. We demonstrate that for a variety of evolutionary computing problems, search can be characterized by g...
Dominic Wilson, Devinder Kaur