Surrogate-assisted grey wolf optimization for high-dimensional, computationally expensive black-box problems-Reference-Cited by-同舟云学术

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Surrogate-assisted grey wolf optimization for high-dimensional, computationally expensive black-box problems

Published:2020-09 Issue: Volume:57 Page:100713
ISSN:2210-6502
Container-title:Swarm and Evolutionary Computation
language:en
Short-container-title:Swarm and Evolutionary Computation

Author:

Dong Huachao,Dong Zuomin

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Natural Science and Engineering Research Council of Canada

Dennis & Phyllis Washington Foundation

Publisher

Elsevier BV

Subject

General Mathematics,General Computer Science

Reference56 articles.

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2. “Bio inspired computing–A review of algorithms and scope of applications;Kar;Expert Syst. Appl.,2016

3. A survey of swarm intelligence for dynamic optimization: algorithms and applications;Mavrovouniotis;Swarm Evol. Comput.,2017

4. Quadratic interpolation based teaching-learning-based optimization for chemical dynamic system optimization;Chen;Knowl. Base Syst.,2018

5. Multiobjective Metaheuristic to Design RNA Sequences;Rubio-Largo,2018

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