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Abstract: Multiple, often conflicting objectives arise naturally in most real-world optimization scenarios. As evolutionary algorithms possess several characteristics due to which they are well suited to this type of problem, evolution-based methods have been used for multiobjective optimization for more than a decade. Meanwhile evolutionary multiobjective optimization has become established as a separate subdiscipline combining the fields of evolutionary computation and classical multiple criteria... (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/zitzler02evolutionary.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/zitzler02evolutionary.html" }
Citations (may not include all citations):2138 Genetic Algorithms in Search (context) - Goldberg - 1989
512 Density estimation for statistics and data analysis (context) - Silverman - 1986
162 Genetic algorithms for multiobjective optimization: Formulat.. - Fonseca, Fleming - 1993
133 Multiobjective optimization using nondominated sorting in ge.. - Srinivas, Deb - 1994
127 A niched pareto genetic algorithm for multiobjective optimiz.. - rey, Nicholas et al. - 1994
110 Multi-objective optimization using evolutionary algorithms (context) - Deb - 2001
101 Multiobjective evolutionary algorithms: A comparative case s.. - Zitzler, Thiele - 1999 DBLP
99 Comparison of multiobjective evolutionary algorithms: Empiri.. - Zitzler, Deb et al. - 2000
89 Genetic Programming --- An Introduction (context) - Banzhaf, Nordin et al. - 1998
67 Multiobjective optimization and multiple constraint handling.. - Fonseca, Fleming - 1998
59 A fast elitist non-dominated sorting genetic algorithm for m.. - Deb, Agrawal et al.
49 The pareto archived evolution strategy: A new baseline algor.. - Knowles, Corne - 1999
46 Genetic search strategies in multicriterion optimal design (context) - Hajela, Lin - 1992
42 SPEA2: Improving the Strength Pareto Evolutionary Algorithm - Zitzler, Laumanns et al. - 2001
38 A variant of evolution strategies for vector optimization - Kursawe - 1991 ACM DBLP
37 Multi-objective genetic local search algorithm (context) - Ishibuchi, Murata - 1996
33 Selective breeding in a multiobjective genetic algorithm (context) - Parks, Miller - 1998 ACM DBLP
23 Nonlinear Multiobjective Optimization (context) - Miettinen - 1999
13 Convergence properties of some multi-objective evolutionary .. - Rudolph, Agapie - 2000
8 Multiobjective genetic programming: Reducing bloat by using .. - Bleuler, Brack et al. - 2001
7 Constraint-handling using an evolutionary multiobjective opt.. - Coello - 2000
6 Coello Coello (context) - Zitzler, Deb et al. - 2001
1 Degradation of phytochrome A and the high irradiance respons.. (context) - Hennig, Buche et al. - 2000
1 Dynamic properties of endogenous phytochrome A in arabidopsi.. (context) - Hennig, Buche et al. - 1999
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