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- W4383567207 abstract "The heat component-constrained layout optimization (HCLO) problem is difficult to be solved due to its many constraints and large search space. In this paper, a novel two-stage evolutionary algorithm (TEA/HCLO) is proposed to improve the effectiveness in solving the HCLO. The HCLO problem is decomposed into two subproblems and optimized in two stages to obtain a satisfying layout. In the first stage, a novel environmental selection strategy using the individual density in objective and decision space cooperatively is proposed to reduce the search space. In the second stage, a repair strategy based on the novel neighborhood search is applied to repair the infeasible solutions obtained in the first stage. The comparative experiments show that the TEA/HCLO algorithm has achieved the best performance in five HCLOs compared with some competitive algorithms." @default.
- W4383567207 created "2023-07-08" @default.
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- W4383567207 date "2023-01-01" @default.
- W4383567207 modified "2023-10-17" @default.
- W4383567207 title "A Two-Stage Evolutionary Algorithm with Repair Strategy for Heat Component-Constrained Layout Optimization" @default.
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- W4383567207 doi "https://doi.org/10.1007/978-3-031-36622-2_33" @default.
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