Improved Solution Search Performance of Constrained MOEA/D Hybridizing Directional Mating and Local Mating

Author:

Kanazaki Masahiro1ORCID,Toyoda Takeharu1ORCID

Affiliation:

1. School of System Design, Division of Aerospace Engineering, Tokyo Metropolitan University, Japan

Publisher

ACM

Reference13 articles.

1. Kalyanmoy Deb , Amrit Pratap , Sameer Agarwal , and TAMT Meyarivan . 2002. A fast and elitist multiobjective genetic algorithm: NSGA-II . IEEE transactions on evolutionary computation 6, 2 ( 2002 ), 182–197. Kalyanmoy Deb, Amrit Pratap, Sameer Agarwal, and TAMT Meyarivan. 2002. A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE transactions on evolutionary computation 6, 2 (2002), 182–197.

2. Reference point based multi-objective optimization using evolutionary algorithms

3. Xavier Gandibleux. 2006. Multiple criteria optimization: state of the art annotated bibliographic surveys. (2006). Xavier Gandibleux. 2006. Multiple criteria optimization: state of the art annotated bibliographic surveys. (2006).

4. Frank Hoffmeister and Joachim Sprave . 1996. Problem-Independent Handling of Constraints by Use of Metric Penalty Functions.Evolutionary Programming 870 ( 1996 ). Frank Hoffmeister and Joachim Sprave. 1996. Problem-Independent Handling of Constraints by Use of Metric Penalty Functions.Evolutionary Programming 870 (1996).

5. An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point Based Nondominated Sorting Approach, Part II: Handling Constraints and Extending to an Adaptive Approach

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1. Push and Pull Search with Directed Mating for Constrained Multi-objective Optimization;2024 IEEE Congress on Evolutionary Computation (CEC);2024-06-30

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