Stochastic optimization using grey wolf optimization with optimal computing budget allocation-Reference-Cited by-同舟云学术

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Stochastic optimization using grey wolf optimization with optimal computing budget allocation

Published:2021-05 Issue: Volume:103 Page:107154
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Fu Yaping,Xiao Hui,Lee Loo Hay,Huang Min

Funder

Youth Innovation Team Project for Talent Introduction and Cultivation in Universities of Shandong Province

Applied Basic Research Program of Sichuan Province

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Software

Reference52 articles.

1. Optimal computing budget allocation for particle swarm optimization in stochastic optimization;Zhang;IEEE Trans. Evolut. Comput.,2017

2. A new budget allocation framework for the expected opportunity cost;Gao;Oper. Res.,2017

3. Two-objective stochastic flow-shop scheduling with deteriorating and learning effect in industry 4.0-based manufacturing system;Fu;Appl. Soft Comput.,2018

4. Construction of prediction intervals for carbon residual of crude oil based on deep stochastic configuration networks;Lu;Inform. Sci.,2019

5. Scheduling dual-objective stochastic hybrid flow shop with deteriorating jobs via bi-population evolutionary algorithm;Fu;IEEE Trans. Syst. Man Cybern. Syst.,2020

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