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Abstract: The Strength Pareto Evolutionary Algorithm (SPEA) has emerged as one of the leading evolu- tionary algorithms for multi-objective optimisation. This paper examines the algorithm and shows how significant improvements in the algorithm's performance may be made. It is demonstrated that SPEA, and other population based algorithms, can exhibit both retreating (or oscillatory) Pareto fronts and shrinking Pareto fronts, which can significantly impair optimisation performance. Reme- dies are... (Update)
Context of citations to this paper: More
.... for the binary tournament selection phase of the SPEA (the algorithms and data structures used to facilitate this can be found in [22], 23] Each population of networks was trained for 2000 generations, with the search population in each instance seeded with the...
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BibTeX entry: (Update)
J.E. Fieldsend, R.M. Everson, and S. Singh. Extensions to the strength pareto evolutionary algorithm. IEEE Trans. Evol. Comp. , 2001. submitted. 7 http://citeseer.ist.psu.edu/fieldsend01extensions.html More
@misc{ fieldsend01extensions,
author = "J. Fieldsend and R. Everson and S. Singh",
title = "Extensions to the strength pareto evolutionary algorithm",
text = "J.E. Fieldsend, R.M. Everson, and S. Singh. Extensions to the strength
pareto evolutionary algorithm. IEEE Trans. Evol. Comp. , 2001. submitted.
7",
year = "2001",
url = "citeseer.ist.psu.edu/fieldsend01extensions.html" }
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