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Abstract: Most popular evolutionary algorithms for multiobjective optimisation maintain a population of solutions from which individuals are selected for reproduction. In this paper, we introduce a simpler evolution scheme for multiobjective problems, called the Pareto Archived Evolution Strategy (PAES). We argue that PAES may represent the simplest possible non-trivial algorithm capable of generating diverse solutions in the Pareto optimal set. The algorithm is identified as being a (1 + 1) evolution... (Update)
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BibTeX entry: (Update)
Knowles, J.D., Corne, D.W. (1999) The Pareto Archived Evolution Strategy : A New Baseline Algorithm for Pareto Multiobjective Optimisation. Proceedings of the Congress of Evolutionary Computing, Washington DC, July 6-9. http://citeseer.ist.psu.edu/knowles99pareto.html More
@inproceedings{ knowles99pareto,
author = "Joshua Knowles and David Corne",
title = "The Pareto Archived Evolution Strategy: {A} New Baseline Algorithm for Pareto Multiobjective Optimisation",
booktitle = "Proceedings of the Congress on Evolutionary Computation",
volume = "1",
month = "6-9",
publisher = "IEEE Press",
address = "Mayflower Hotel, Washington D.C., USA",
editor = "Peter J. Angeline and Zbyszek Michalewicz and Marc Schoenauer and Xin Yao and Ali Zalzala",
isbn = "0-7803-5537-7 (Microfiche)",
pages = "98--105",
year = "1999",
url = "citeseer.ist.psu.edu/knowles99pareto.html" }
Citations (may not include all citations):2 Thomas Back (context) - Back - 1996
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