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A cone order sequence based multi-objective evolutionary algorithm

Lyu, Y and Zhang, Q and Wong, KC (2016) A cone order sequence based multi-objective evolutionary algorithm. In: UNSPECIFIED, ? - ?.

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A cone order sequence based MOEA (CS-MOEA) is proposed to deal with the multi-objective optimization problems. Instead of only using the Pareto dominance, it constructs a sequence of cone order to balance the search diversity and convergence. By gradually increasing the open angle of the cone order, it approximates the Pareto cone gradually. A simple formula for judging the θ-cone dominance is derived, which is easy to be computed. Moreover, an energy model is introduced for the selection of individuals to maintain population diversity. Experiments on more than 10 problems (i.e. zdt and dtlz benchmark problem sets) demonstrate that the proposed method is competitive, compared with Stable Matching MOEA/D (STM-MOEA/D) and MOEA/D-DE.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: 2016 IEEE Congress on Evolutionary Computation, CEC 2016
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Jim Jamieson
Date Deposited: 14 Dec 2016 09:48
Last Modified: 30 Mar 2021 15:15

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