A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimization: NSGA-II
Top Cited Papers
- 1 January 2000
- book chapter
- Published by Springer Nature
- p. 849-858
- https://doi.org/10.1007/3-540-45356-3_83
Abstract
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This publication has 7 references indexed in Scilit:
- The Pareto archived evolution strategy: a new baseline algorithm for Pareto multiobjective optimisationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- A niched Pareto genetic algorithm for multiobjective optimizationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Comparison of Multiobjective Evolutionary Algorithms: Empirical ResultsEvolutionary Computation, 2000
- Multi-objective Genetic Algorithms: Problem Difficulties and Construction of Test ProblemsEvolutionary Computation, 1999
- Multiobjective optimization and multiple constraint handling with evolutionary algorithms. II. Application exampleIEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 1998
- Multiobjective optimization using evolutionary algorithms — A comparative case studyPublished by Springer Nature ,1998
- Muiltiobjective Optimization Using Nondominated Sorting in Genetic AlgorithmsEvolutionary Computation, 1994