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A fast and elitist multiobjective genetic algorithm: NSGA-II
- K. Deb, S. Agrawal, Amrit Pratap, T. Meyarivan
- Computer Science, Mathematics
- IEEE Trans. Evol. Comput.
- 1 April 2002
Multi-objective evolutionary algorithms (MOEAs) that use non-dominated sorting and sharing have been criticized mainly for: (1) their O(MN/sup 3/) computational complexity (where M is the number of… Expand
A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimisation: NSGA-II
Multi-objective evolutionary algorithms which use non-dominated sorting and sharing have been mainly criticized for their (i) O(MN3) computational complexity (where M is the number of objectives and… Expand
Constrained Test Problems for Multi-objective Evolutionary Optimization
Over the past few years, researchers have developed a number of multi-objective evolutionary algorithms (MOEAs). Although most studies concentrated on solving unconstrained optimization problems,… Expand