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Titlebook: Distributed Computing and Artificial Intelligence, 14th International Conference; Sigeru Omatu,Sara Rodríguez,Javier Prieto Conference pro

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樓主: ACRO
51#
發(fā)表于 2025-3-30 11:10:01 | 只看該作者
David F. Lomax,P. T. G. Gutmanntions pair ranking, set a plan, select the plan, form coalition, review coalitions’ strength, and re-evaluate coalition. We first present the algorithm architecture then the related definition and formulation of each step and subsequently demonstrate the complete operation of the proposed algorithm using pseudocode.
52#
發(fā)表于 2025-3-30 12:38:22 | 只看該作者
53#
發(fā)表于 2025-3-30 18:52:43 | 只看該作者
54#
發(fā)表于 2025-3-30 23:59:54 | 只看該作者
55#
發(fā)表于 2025-3-31 02:12:56 | 只看該作者
56#
發(fā)表于 2025-3-31 07:12:55 | 只看該作者
External Relations of the Euro Arean metaheuristic algorithms, such as simulated annealing, particle swarm optimization and genetic algorithm. The computational study demonstrates that the proposed variants produce more promising results and are able to solve this new problem effectively in an acceptable computational time.
57#
發(fā)表于 2025-3-31 10:28:47 | 只看該作者
58#
發(fā)表于 2025-3-31 14:18:56 | 只看該作者
Artificial bee colony algorithms for two-sided assembly line worker assignment and balancing problemn metaheuristic algorithms, such as simulated annealing, particle swarm optimization and genetic algorithm. The computational study demonstrates that the proposed variants produce more promising results and are able to solve this new problem effectively in an acceptable computational time.
59#
發(fā)表于 2025-3-31 19:08:37 | 只看該作者
A New Great Game in the Transcaucasus?works. Such conditions allows one to replace the exhaustive search for the admissible dead-lock-free control of the whole network by focusing on its small size parts. The proposed methodology behind fast assessment of cyclic steady states reachable in grid-like structure of cyclic process is clarified through multiple illustrative examples.
60#
發(fā)表于 2025-3-31 22:39:15 | 只看該作者
The Failure to Eliminate Terrorismted on benchmark problems and the obtained results are compared with current state. It can be seen that the proposed DE algorithm is able to find a better solution for the considered objective function. Comparison of the computational time along with the cycle time is presented in detail.
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