Article | Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016 | Effects of Chain-Reaction Initial Solution Arrangement in Decomposition-Based MOEAs Linköping University Electronic Press Conference Proceedings
Göm menyn

Title:
Effects of Chain-Reaction Initial Solution Arrangement in Decomposition-Based MOEAs
Author:
Hiroyuki Sato: Graduate School of Informatics and Engineering, The University of Electro-Communications, Japan Minami Miyakawa: Faculty of Computer and Information Sciences, Hosei University (JSPS Research Fellow), Japan Keiki Takadama: Graduate School of Informatics and Engineering, The University of Electro-Communications, Japan
DOI:
10.3384/ecp171421074
Download:
Full text (pdf)
Year:
2018
Conference:
Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016
Issue:
142
Article no.:
158
Pages:
1074-1080
No. of pages:
7
Publication type:
Abstract and Fulltext
Published:
2018-12-19
ISBN:
978-91-7685-399-3
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet


Export in BibTex, RIS or text

For solving multi-objective problems, MOEA/D employs a set of weight vectors determining search directions and assigns one solution for each weight vector. Since the conventional MOEA/D assigns a randomly generated initial solution for each weight vector without considering its position in the objective space, mismatched pairs of initial solution and weight are generated, and it causes inef?cient search. To enhance MOEA/D based multi-objective optimization, this work proposes a method arranging randomly generated initial solutions to weight vectors based on positions of their solutions in the objective space. The proposed method is combined with the conventional MOEA/D and MOEA/D-CRU, and their search performances are veri?ed on continuous DLTZ4 benchmark problems with 2-5 objectives and different problem dif?culty parameters. The experimental results show that the proposed method improves the search performances of MOEA/D and MOEA/D-CRU especially on problems with the dif?culty to obtain uniformly distributed solutions in the objective space.

Keywords: multi-objective optimization, many-objective optimization, evolutionary algorithm, MOEA/D

Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016

Author:
Hiroyuki Sato, Minami Miyakawa, Keiki Takadama
Title:
Effects of Chain-Reaction Initial Solution Arrangement in Decomposition-Based MOEAs
DOI:
http://dx.doi.org/10.3384/ecp171421074
References:
No references available

Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016

Author:
Hiroyuki Sato, Minami Miyakawa, Keiki Takadama
Title:
Effects of Chain-Reaction Initial Solution Arrangement in Decomposition-Based MOEAs
DOI:
https://doi.org10.3384/ecp171421074
Note: the following are taken directly from CrossRef
Citations:
No citations available at the moment


Responsible for this page: Peter Berkesand
Last updated: 2019-10-02