A comprehensive survey on NSGA-II for multi-objective optimization and applications-Reference-Cited by-同舟云学术

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A comprehensive survey on NSGA-II for multi-objective optimization and applications

Published:2023-06-17 Issue:12 Volume:56 Page:15217-15270
ISSN:0269-2821
Container-title:Artificial Intelligence Review
language:en
Short-container-title:Artif Intell Rev

Author:

Ma Haiping,Zhang Yajing,Sun Shengyi,Liu Ting,Shan Yu

Funder

National Natural Science Foundation of China

Zhejiang Provincial Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Link

https://link.springer.com/content/pdf/10.1007/s10462-023-10526-z.pdf

Reference266 articles.

1. Abiri E, Bezareh Z, Darabi A (2017) The optimum design of RAM cell basedonthe modified-GDI method usingNon-dominated Sorting Genetic Algorithm II (NSGA-II). J Intell Fuzzy Syst 32(6):4095–4108

2. Abul’Wafa RA (2013) Optimization of economic/emission load dispatch for hybrid generating systems using controlled Elitist NSGA-II. Electric Power Syst Res 105:142–151

3. Adham AM, Mohd-Ghazali N, Ahmad R (2012) Optimization of an ammonia-cooled rectangular microchannel heat sink using multi-objective non-dominated sorting genetic algorithm (NSGA2). Heat Mass Transf 48(10):1723–1733

4. Afzalirad M, Rezaeian J (2016) A realistic variant of bi-objective unrelated parallel machine scheduling problem: NSGA-II and MOACO approaches. Appl Soft Comput 50:109–123

5. Agarwal A, Gupta SK (2018) Multi-objective optimal design of heat exchanger networks using new adaptations of the elitist nondominated sorting genetic algorithm, NSGA-II. Ind Eng Chem Res 47(10):3489–3501

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