人类多任务处理
计算机科学
进化算法
水准点(测量)
数学优化
进化计算
资源配置
最优化问题
计算机多任务处理
进化规划
人工智能
数学
算法
并行计算
地理
心理学
计算机网络
大地测量学
认知心理学
作者
Genghui Li,Qingfu Zhang,Zhenkun Wang
标识
DOI:10.1109/tevc.2022.3141819
摘要
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.
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