A dynamic multi-objective evolutionary algorithm based on gene sequencing and gene editing-Reference-Cited by-同舟云学术

A dynamic multi-objective evolutionary algorithm based on gene sequencing and gene editing

Published:2023-10 Issue: Volume:644 Page:119256
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Yang Yue,Ma Yongjie^ORCID,Wang Minghao,Wang Peidi

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference50 articles.

1. Evolution strategy and hierarchical clustering;Aichholzer;IEEE Trans. Magn.,2002

2. A multi-population approach to dynamic optimization problems;Branke,2000

3. Evolutionary dynamic multiobjective optimization assisted by a support vector regression predictor;Cao;IEEE Trans. Evol. Comput.,2019

4. A fast and elitist multiobjective genetic algorithm: Nsga-ii;Deb;IEEE Trans. Evol. Comput.,2002

5. Dynamic multi-objective optimization and decision-making using modified nsga-ii: a case study on hydro-thermal power scheduling;Deb,2007

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