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• W4386171481 endingPage "110780" @default.
• W4386171481 startingPage "110780" @default.
• W4386171481 abstract "Evolutionary computing (EC) is widely used in dealing with combinatorial optimization problems (COP). Traditional EC methods can only solve a single task in a single run, while real-life scenarios often need to solve multiple COPs simultaneously. In recent years, evolutionary multitasking optimization (EMTO) has become an emerging topic in the EC community. And many methods have been designed to deal with multiple COPs concurrently through exchanging knowledge. However, many-task optimization, cross-domain knowledge transfer, and negative transfer are still significant challenges in this field. A new evolutionary multitasking algorithm based on adaptive seed transfer (MTEA-AST) is developed for multitasking COPs in this work. First, a dimension unification strategy is proposed to unify the dimensions of different tasks. And then, an adaptive task selection strategy is designed to capture the similarity between the target task and other online optimization tasks. The calculated similarity is exploited to select suitable source tasks for the target one and determine the transfer strength. Next, a task transfer strategy is established to select seeds from source tasks and correct unsuitable knowledge in seeds to suppress negative transfer. Finally, the experimental results indicate that MTEA-AST can adaptively transfer knowledge in both same-domain and cross-domain many-task environments. And the proposed method shows competitive performance compared to other state-of-the-art EMTOs in experiments consisting of four COPs." @default.
• W4386171481 created "2023-08-26" @default.
• W4386171481 creator A5022334584 @default.
• W4386171481 creator A5059962183 @default.
• W4386171481 date "2023-11-01" @default.
• W4386171481 modified "2023-09-26" @default.
• W4386171481 title "Multitasking evolutionary algorithm based on adaptive seed transfer for combinatorial problem" @default.
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• W4386171481 doi "https://doi.org/10.1016/j.asoc.2023.110780" @default.
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