Work

Many-objective optimization using differential evolution with variable-wise mutation restriction

Year: 2013

Type: conference-paper

Abstract: In this paper, we propose an evolutionary algorithm for handling many-objective optimization problems called MyO-DEMR (many-objective differential evolution with mutation restriction). The algorithm uses the concept of Pareto dominance coupled with the inverted generational distance metric to select the population of the next generation from the combined multi-set of parents and offspring. Furthermore, we suggest a strategy for the restriction of the difference vector in DE operator in order to improve the convergence property in multi-modal fitness landscape.

Source: Genetic and Evolutionary Computation Conference (GECCO)

DOI: 10.1145/2463372.2463445

Authors: Roman Denysiuk, Lino Costa, Isabel Espírito Santo

Institution: University of Minho

Language: English

Topic: Advanced Multi-Objective Optimization Algorithms

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Fundação para a Ciência e a Tecnologia

OpenAlex ID: W1978788568

FWCI: 2.319

Cites: 36

Cited by: 43

Related to: 10