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Titlebook: Learning and Intelligent Optimization; 16th International C Dimitris E. Simos,Varvara A. Rasskazova,Panos M. P Conference proceedings 2022

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發(fā)表于 2025-3-26 21:50:47 | 只看該作者
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發(fā)表于 2025-3-27 02:13:28 | 只看該作者
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發(fā)表于 2025-3-27 05:49:06 | 只看該作者
Dynamic Urban Solid Waste Management System for?Smart CitiesWMS). A critical step in SWMS is the collection of wastes, generally associated with expensive costs faced by companies or municipalities in this sector. Some studies are being developed for the optimization of waste collection routes, but few consider inland cities as model regions. Here, the model
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發(fā)表于 2025-3-27 12:32:30 | 只看該作者
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發(fā)表于 2025-3-27 16:54:06 | 只看該作者
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發(fā)表于 2025-3-27 18:49:44 | 只看該作者
Competitive Supply Allocation in?a?Distribution Network Under Overproduction a competitive distribution model to facilitate decision-making for order managers and to provide an intelligent support tool. The basis of the distribution model structure is a non-linear constrained optimization program that intends to minimize the costs of competing suppliers in case of an overpr
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發(fā)表于 2025-3-28 05:00:49 | 只看該作者
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發(fā)表于 2025-3-28 09:16:09 | 只看該作者
From Design of?Experiments to?Combinatorics of?Disasters: A Conceptual Framework for?Disaster Exercior easy generation of more extensive and effective exercises and training programs. We explain all the individual stages of our proposed framework and how they are mapped to particular steps in the disaster exercise design process.
40#
發(fā)表于 2025-3-28 12:10:26 | 只看該作者
Separating Two Polyhedra Utilizing Alternative Theorems and?Penalty Functionction is only once differentiable, we propose an extension of Newton’s method to solve the unconstrained objective optimization. The computational outcomes demonstrate the efficacy of the proposed method.
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