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» An evolutionary method for complex-process optimization
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GECCO
2003
Springer
105views Optimization» more  GECCO 2003»
15 years 5 months ago
The Underlying Similarity of Diversity Measures Used in Evolutionary Computation
In this paper we compare and analyze the various diversity measures used in the Evolutionary Computation field. While each measure looks quite different from the others in form, we...
Mark Wineberg, Franz Oppacher
131
Voted
DAWAK
2006
Springer
15 years 4 months ago
Mixed Decision Trees: An Evolutionary Approach
In the paper, a new evolutionary algorithm (EA) for mixed tree learning is proposed. In non-terminal nodes of a mixed decision tree different types of tests can be placed, ranging ...
Marek Kretowski, Marek Grzes
82
Voted
PPSN
2000
Springer
15 years 4 months ago
Towards Automatic Domain Knowledge Extraction for Evolutionary Heuristics
Domain knowledge is essential for successful problem solving and optimization. This paper introduces a framework in which a form of automatic domain knowledge extraction can be im...
Márk Jelasity
135
Voted
CEC
2011
IEEE
14 years 17 days ago
Oppositional biogeography-based optimization for combinatorial problems
Abstract—In this paper, we propose a framework for employing opposition-based learning to assist evolutionary algorithms in solving discrete and combinatorial optimization proble...
Mehmet Ergezer, Dan Simon
75
Voted
GECCO
2007
Springer
169views Optimization» more  GECCO 2007»
15 years 6 months ago
An evolutionary platform for developing next-generation electronic circuits
In this paper, a new method for evolving simple electronic circuits is discussed, with the aim of improving the reliability and performance of basic circuit blocks. Next-generatio...
James A. Hilder, Andy M. Tyrrell