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Abstract: Solving optimization problems with multiple (often conflicting) objectives is generally a quite difficult goal. Evolutionary Algorithms (EAs) were initially extended and applied during the mid-eighties in an attempt to stochastically solve problems of this generic class. During the past decade a variety of Multiobjective EA (MOEA) techniques have been proposed and applied to many scientific and engineering applications. Our discussion's intent is to rigorously define and execute a quantitative... (Update)
Context of citations to this paper: More
.... suite indicated that the MOMGA was as good, if not better, than other MOEA approaches for unconstrained problems in a generic test suite [4]. Messy Genetic Algorithm Based Multi Objective Optimization 2 2 Modified MOMGA A modification to the MOMGA is presented in this paper...
...optimization algorithms is a difficult task as identifying proper measures of performance is often non trivial. Veldhuizen and Lamont[34] proposed the use of error ratio and generational distances to compare between Pareto fronts obtained by various multiobjective algorithms....
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BibTeX entry: (Update)
Van Veldhuizen, D. A. and Lamont, G. B. (2000). On Measuring Multiobjective Evolutionary Algorithm Performance. In Proceedings of the 2000 Congress on Evolutionary Computation, pp. 204-211. http://citeseer.ist.psu.edu/vanveldhuizen00measuring.html More
@inproceedings{ vanveldhuizen00measuring,
author = "David A. {Van Veldhuizen} and Gary B. Lamont",
title = "On Measuring Multiobjective Evolutionary Algorithm Performance",
booktitle = "Proceedings of the 2000 Congress on Evolutionary Computation CEC00",
month = "6-9",
publisher = "IEEE Press",
address = "La Jolla Marriott Hotel La Jolla, California, USA",
isbn = "0-7803-6375-2",
pages = "204--211",
year = "2000",
url = "citeseer.ist.psu.edu/vanveldhuizen00measuring.html" }
Citations (may not include all citations):169 Evolutionary Algorithms in Theory and Practice (context) - Back - 1996
12 An Empirical Study of Evolutionary Techniques for Multiobjec.. (context) - Coello - 1996
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