SPEA2: Improving the Strength Pareto Evolutionary Algorithm Export

@techreport{Strength, abstract = {The Strength Pareto Evolutionary Algorithm (SPEA) (Zitzler and Thiele 1999) is a relatively recent technique for finding or approximating the Pareto-optimal set for multiobjective optimization problems. In different studies (Zitzler and Thiele 1999; Zitzler, Deb, and Thiele 2000) SPEA has shown very good performance in comparison to other multiobjective evolutionary algorithms, and therefore it has been a point of reference in various recent investigations, e.g., (Corne, Knowles, and Oates 2000). Furthermore, it has been used in different applications, e.g., (Lahanas, Milickovic, Baltas, and Zamboglou 2001). In this paper, an improved version, namely SPEA2, is proposed, which incorporates in contrast to its predecessor a fine-grained fitness assignment strategy, a density estimation technique, and an enhanced archive truncation method. The comparison of SPEA2 with SPEA and two other modern elitist methods, PESA and NSGA-II, on different test problems yields promising results.}, address = {Gloriastrasse 35, CH-8092 Zurich, Switzerland}, author = {Zitzler, Eckart and Laumanns, Marco and Thiele, Lothar}, citeulike-article-id = {2815762}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.17.2440}, number = {103}, posted-at = {2008-06-03 21:59:11}, priority = {4}, title = {SPEA2: Improving the Strength Pareto Evolutionary Algorithm}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.17.2440}, year = {2001} }

TY - RPRT ID - Strength L3 - citeulike-article-id:2815762 N2 - The Strength Pareto Evolutionary Algorithm (SPEA) (Zitzler and Thiele 1999) is a relatively recent technique for finding or approximating the Pareto-optimal set for multiobjective optimization problems. In different studies (Zitzler and Thiele 1999; Zitzler, Deb, and Thiele 2000) SPEA has shown very good performance in comparison to other multiobjective evolutionary algorithms, and therefore it has been a point of reference in various recent investigations, e.g., (Corne, Knowles, and Oates 2000). Furthermore, it has been used in different applications, e.g., (Lahanas, Milickovic, Baltas, and Zamboglou 2001). In this paper, an improved version, namely SPEA2, is proposed, which incorporates in contrast to its predecessor a fine-grained fitness assignment strategy, a density estimation technique, and an enhanced archive truncation method. The comparison of SPEA2 with SPEA and two other modern elitist methods, PESA and NSGA-II, on different test problems yields promising results. IS - 103 AD - Gloriastrasse 35, CH-8092 Zurich, Switzerland TI - SPEA2: Improving the Strength Pareto Evolutionary Algorithm AU - Zitzler, Eckart AU - Laumanns, Marco AU - Thiele, Lothar PY - 2001/// UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.17.2440 ER -