相符
发表于 2025-3-26 21:13:14
https://doi.org/10.1007/978-3-642-21524-7cellular automata; cloud computing; image processing; mathematical modeling; wireless sensor networks; al
mighty
发表于 2025-3-27 02:50:50
978-3-642-21523-0Springer-Verlag GmbH Berlin Heidelberg 2011
外向者
发表于 2025-3-27 07:17:54
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含糊
发表于 2025-3-27 10:44:37
https://doi.org/10.1007/978-1-4471-3427-5ired to satisfy all constrains and optimize overall criteria. Combined with MOPSO algorithm, a Pareto-based multi-objective model is proposed, which includes not only the time-cost tradeoff, but also a “Constraint-First-Objective-Next” strategy which handles constraints as an additional objective. N
Adornment
发表于 2025-3-27 13:38:48
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Eosinophils
发表于 2025-3-27 20:58:06
https://doi.org/10.1007/978-1-4471-3427-5r operator of the genetic algorithm as the particle updating strategy. Second, a propagating mechanism is adopted to propagate the non-dominated archive. Third, a local search heuristic based on scatter search is applied to improve the non-dominated solutions. Computational study shows that the HMOP
神刊
发表于 2025-3-27 23:55:51
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chandel
发表于 2025-3-28 03:51:29
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dry-eye
发表于 2025-3-28 09:11:43
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著名
发表于 2025-3-28 11:44:11
Combined Actions of Antimicrobial Drugsmplicated optimization problem consisting of more than one objectives and constraints. In this paper we present a new multi-objective particle swarm optimization (PSO) algorithm for effectively solving the SEML problem model whose objectives include minimizing maintenance cost and maximizing expecte