Co-operative Prediction Strategy for Solving Dynamic Multi-Objective Optimization Problems

Zhihao Zhao, Fangqing Gu, Yiu Ming CHEUNG

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

Abstract

Prediction-based evolutionary multi-objective optimization algorithm is one of the most popular optimization algorithms for solving dynamic multi-objective optimization problem. It uses time-series models to predict the future Pareto set based on the past solutions. However, the dimension of the decision variables may be too high to predict. Moreover, a relatively small variance in decision variables may lead to a large difference in the objective space. The optimized Pareto front (PF) may be far from the desired output. To solve these problems, this paper proposes a new co-operative prediction method, which predicts not only the Pareto solution (PS), but also a hyper-plane as an approximation of the prediction of the PF in the objective space. The hyper-plane is used to guide the search process and accelerate the convergence. We compare the proposed algorithm with three existing dynamic optimization algorithms. Experimental results show the effectiveness of the proposed algorithm.

Original languageEnglish
Title of host publication2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728169293
DOIs
Publication statusPublished - Jul 2020
Event2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Virtual, Glasgow, United Kingdom
Duration: 19 Jul 202024 Jul 2020

Publication series

Name2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings

Conference

Conference2020 IEEE Congress on Evolutionary Computation, CEC 2020
Country/TerritoryUnited Kingdom
CityVirtual, Glasgow
Period19/07/2024/07/20

Scopus Subject Areas

  • Control and Optimization
  • Decision Sciences (miscellaneous)
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture

User-Defined Keywords

  • Dynamic Multiobjective Optimization
  • Evolutionary Algorithms

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