A new prediction strategy combining T-S fuzzy nonlinear regression prediction and multi-step prediction for dynamic multi-objective optimization-Reference-Cited by-同舟云学术

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A new prediction strategy combining T-S fuzzy nonlinear regression prediction and multi-step prediction for dynamic multi-objective optimization

Published:2020-12 Issue: Volume:59 Page:100749
ISSN:2210-6502
Container-title:Swarm and Evolutionary Computation
language:en
Short-container-title:Swarm and Evolutionary Computation

Author:

Zou Feng,Chen Debao,Xu Qingzheng,Lu Renquan

Funder

National Natural Science Foundation of China

Anhui Provincial Natural Science Foundation

Publisher

Elsevier BV

Subject

General Mathematics,General Computer Science

Reference64 articles.

1. Learning and anticipation in online dynamic optimization;Bosman,2007

2. Optimization in dynamic environments: a survey on problems, methods and measures;Cruz;Soft Comput.,2011

3. On the role of modularity in evolutionary dynamic optimization;Rohlfshagen,2010

4. Continuous Dynamic Optimisation Using Evolutionary Algorithms;Nguyen,2011

5. An adaptive approach for solving dynamic scheduling with time-varying number of tasks;Abello,2011

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