SMS-EMOA: Multiobjective selection based on dominated hypervolume-Reference-Cited by-同舟云学术

SMS-EMOA: Multiobjective selection based on dominated hypervolume

Published:2007-09 Issue:3 Volume:181 Page:1653-1669
ISSN:0377-2217
Container-title:European Journal of Operational Research
language:en
Short-container-title:European Journal of Operational Research

Author:

Beume Nicola,Naujoks Boris,Emmerich Michael

Publisher

Elsevier BV

Subject

Information Systems and Management,Management Science and Operations Research,Modeling and Simulation,General Computer Science,Industrial and Manufacturing Engineering

Reference28 articles.

1. Multi-Objective Optimization using Evolutionary Algorithms;Deb,2001

2. Evolutionary Algorithms for Solving Multi-Objective Problems;Coello Coello,2002

3. Multiobjective Optimization Using Evolutionary Algorithms – A Comparative Study;Zitzler,1998

4. E. Zitzler, Evolutionary algorithms for multiobjective optimization: methods and applications, Ph.D. Thesis, Swiss Federal Institute of Technology (ETH), Zürich, Switzerland, 1999.

5. The Measure of Pareto Optima. Applications to Multi-objective Metaheuristics;Fleischer,2003

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