An ensemble learning based prediction strategy for dynamic multi-objective optimization-Reference-Cited by-同舟云学术

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An ensemble learning based prediction strategy for dynamic multi-objective optimization

Published:2020-11 Issue: Volume:96 Page:106592
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Wang Feng,Li Yixuan,Liao Fanshu,Yan Hongyang

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Wuhan University

Publisher

Elsevier BV

Subject

Software

Reference47 articles.

1. Automatic design of scheduling policies for dynamic multi-objective job shop scheduling via cooperative coevolution genetic programming;Nguyen;IEEE Trans. Evol. Comput.,2014

2. A multiobjective box-covering algorithm for fractal modularity on complex networks;Wu;Appl. Soft Comput.,2017

3. Multi-resource scheduling and power simulation for cloud computing;Lin;Inform. Sci.,2017

4. Moving horizon optimization of dynamic trajectory planning for high-speed train operation;Yan;IEEE Trans. Intell. Transp. Syst.,2016

5. Multiobjective optimization immune algorithm in dynamic environments and its application to greenhouse control;Zhang;Appl. Soft Comput.,2008

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