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Abstract: Evolutionary algorithms (EA) have proved to be well suited for optimization problems with multiple objectives. Due to their inherent parallelism they are able to capture a number of solutions concurrently in a single run. In this report, we propose a new evolutionary approach to multicriteria optimization, the Strength Pareto Evolutionary Algorithm (SPEA). It combines various features of previous multiobjective EAs in a unique manner and is characterized as follows: a) besides the population a... (Update)
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BibTeX entry: (Update)
Eckart Zitzler and Lothar Thiele. An Evolutionary Algorithm for Multiobjective Optimization: The Strength Pareto Approach. Technical Report 43, Computer Engineering and Communication Networks Lab (TIK), Swiss Federal Institute of Technology (ETH), Zurich, Switzerland, May 1998. http://citeseer.ist.psu.edu/article/zitzler98evolutionary.html More
@techreport{ zitzler98evolutionary,
author = "Eckart Zitzler and Lothar Thiele",
title = "An Evolutionary Algorithm for Multiobjective Optimization: The Strength Pareto Approach",
number = "43",
address = "Gloriastrasse 35, CH-8092 Zurich, Switzerland",
year = "1998",
url = "citeseer.ist.psu.edu/article/zitzler98evolutionary.html" }
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