Hybrid evolutionary multi-objective optimisation using outranking-based ordinal classification methods
Swarm and evolutionary computation, pp. 1006522020.
Abstract A large number of real-world problems require optimising several objective functions at the same time, which are generally in conflict. Many of these problems have been addressed through multi-objective evolutionary algorithms. In this paper, we propose a new hybrid evolutionary algorithm whose main feature is the incorporation...More
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