The effect of different stopping criteria on multi-objective optimization algorithms-Reference-Cited by-同舟云学术

The effect of different stopping criteria on multi-objective optimization algorithms

Published:2021-02-20 Issue: Volume: Page:
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Abu Doush Iyad^ORCID,El-Abd Mohammed,Hammouri Abdelaziz I.,Bataineh Mohammad Qasem

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-021-05805-1.pdf

Reference48 articles.

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2. AbuDoush I, Bataineh MQ (2015) Hybedrized NSGA-II and MOEA/D with Harmony search algorithm to solve multi-objective optimization problems. Springer, Berlin, pp 606–614

3. Al-Betar MA, Doush IA, Khader AT, Awadallah MA (2012) Novel selection schemes for harmony search. Appl Math Comput 218(10):6095–6117

4. Audet C, Bigeon J, Cartier D, Le Digabel S, Salomon L (2018) Performance indicators in multiobjective optimization. Optimization Online

5. Brockhoff D, Wagner T, Trautmann H (2015) 2 indicator-based multiobjective search. Evolution Comput 23(3):369–395

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