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The Self-Adaptive Pareto Differential Evolution (2002)
| Venue: | In Congress on Evolutionary Computation (CEC’2002 |
| Citations: | 79 - 4 self |
BibTeX
@INPROCEEDINGS{Abbass02theself-adaptive,
author = {Hussein Abbass},
title = {The Self-Adaptive Pareto Differential Evolution},
booktitle = {In Congress on Evolutionary Computation (CEC’2002},
year = {2002},
pages = {831--836},
publisher = {IEEE Press}
}
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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. The experiments will also show that the algorithm is very competitive to other EMO algorithms.
