Reinforcement learning-controlled differential evolution with L-BFGS refinements.
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| Title: | Reinforcement learning-controlled differential evolution with L-BFGS refinements. |
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| Authors: | Cao Y; School of Computer Science and Engineering, Shenyang Jianzhu University, Shenyang, China.; Liaoning Provincial Key Laboratory of Big Data Management and Analysis of Urban Construction, Shenyang, China.; Shenyang Branch of National Special Computer Engineering Technology Research Center, Shenyang, China., Wu B; School of Computer Science and Engineering, Shenyang Jianzhu University, Shenyang, China.; Liaoning Provincial Key Laboratory of Big Data Management and Analysis of Urban Construction, Shenyang, China.; Shenyang Branch of National Special Computer Engineering Technology Research Center, Shenyang, China., Wen M; School of Computer Science and Engineering, Shenyang Jianzhu University, Shenyang, China.; Liaoning Provincial Key Laboratory of Big Data Management and Analysis of Urban Construction, Shenyang, China.; Shenyang Branch of National Special Computer Engineering Technology Research Center, Shenyang, China. |
| Source: | PloS one [PLoS One] 2026 May 13; Vol. 21 (5), pp. e0347860. Date of Electronic Publication: 2026 May 13 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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