Multi-objectivization inspired metaheuristics for the sum-of-the-parts combinatorial optimization problems-Reference-Cited by-同舟云学术

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Multi-objectivization inspired metaheuristics for the sum-of-the-parts combinatorial optimization problems

Published:2021-05 Issue: Volume:103 Page:107157
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Shi Jialong,Sun Jianyong,Zhang Qingfu

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Software

Reference59 articles.

1. Reducing local optima in single-objective problems by multi-objectivization;Knowles,2001

2. Using multi-objective evolutionary algorithms for single-objective constrained and unconstrained optimization;Segura;Ann. Oper. Res.,2016

3. Optimization of scalarizing functions through evolutionary multiobjective optimization;Ishibuchi,2007

4. Multiobjectivization by decomposition of scalar cost functions;Handl,2008

5. Novelty-based multiobjectivization;Mouret,2011

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