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Abstract: The Pareto Differential Evolution (PDE) algorithm was introduced last year and showed competitive results. The behavior of PDE, as in many other evolutionary multiobjective optimization (EMO) methods, varies according to the crossover and mutation rates. In this paper, we present a new version of PDE with self-adaptive crossover and mutation. We call the new version Self-adaptive Pareto Differential Evolution (SPDE). The emphasis of this paper is to analyze the dynamics and behavior of SPDE.... (Update)
Context of citations to this paper: More
...Conclusions are drawn in Section 5. 2 Methods A variation of the Self adaptive Pareto frontier Di#erential Evolution (SPDE) algorithm [1] is used. We present this variation here followed by a similar algorithm using a Breeder Genetic Algorithm (BGA) 9, 10] selection...
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BibTeX entry: (Update)
H.A. Abbass. Self-adaptive pareto di#erential evolution. In The IEEE Congress on Evolutionary Computation, Honolulu, USA, pages 831--836. IEEE Press, 2002. http://citeseer.ist.psu.edu/abbass02selfadaptive.html More
@misc{ abbass02selfadaptive,
author = "H. Abbass",
title = "Self-adaptive pareto differential evolution",
text = "H.A. Abbass. Self-adaptive pareto differential evolution. In The IEEE Congress
on Evolutionary Computation, Honolulu, USA, pages 831--836. IEEE Press,
2002.",
year = "2002",
url = "citeseer.ist.psu.edu/abbass02selfadaptive.html" }
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66 Approximating the nondominated front using the pareto archiv.. - Knowles, Corne - 2000 DBLP
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11 erential evolution: a simple and e#- cient adaptive scheme f.. (context) - Storn, Price - 1995
3 erential evolution approach to vector optimisation problems (context) - Abbass, Sarkar et al. - 2001
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