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Evolutionary Competitive Multitasking Optimization

delete2022-04-01
delete31
PRE
AI
G
Genghui Li
Q
Qingfu Zhang *
Z
Zhenkun Wang *
DOI:10.1109/TEVC.2022.3141819delete
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Abstract

Abstract

En 中文
This article introduces a special multitasking optimization problem (MTOP) called the competitive MTOP (CMTOP). Its distinctive characteristics are that all tasks' objectives are comparable, and its optimal solution is the best one among the optimal solutions of all the individual problems. This article proposes an evolutionary algorithm with an online resource allocation strategy and an adaptive information transfer mechanism to solve the CMTOP. The experimental results on benchmark and real-world problems show that our proposed algorithm is effective and efficient.
Keywords:
Task analysis
Optimization
Multitasking
Resource management
Statistics
Sociology
Evolutionary computation
Competitive multitasking optimization problem (CMTOP)
information transfer
online resources allocation
task selection

Journal

IEEE Transactions on Evolutionary Computation cover
IEEE Transactions on Evolutionary Computation
IF:
12
Papers:
1.8K
Citations:
2.4W

Organization

C
City University of Hong Kong
Scholars:
2.3W
Papers: 3.0W
Citations: 6.1W