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Titlebook: Applications of Evolutionary Computation; 23rd European Confer Pedro A. Castillo,Juan Luis Jiménez Laredo,Francis Conference proceedings 20

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楼主: ossicles
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A Decomposition-Based Evolutionary Algorithm with Adaptive Weight Vectors for Multi- and Many-objecte between convergence and diversity for multi- and many-objective optimization problems. Our experimental results demonstrate that the proposed algorithm is efficient and reliable for dealing with different normalized and scaled problems, outperforming several other state-of-the-art multi- and many-objective evolutionary algorithms.
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What Is Your MOVE: Modeling Adversarial Network Environmentsetwork topology and possible applications in the network. The results show that the evolved strategies far surpass randomly generated strategies. Finally, the evolved strategies can help us to reach some more general conclusions for both attacker and defender sides.
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Barry R. Bickmore,Matthew C. F. Wandered up the solving process for four common variants of the electric vehicle charging scheduling problem. Based on the results, the most important solver parameters are identified. It is shown that by tuning a very limited number of parameters, speed-ups of 60% and more can be achieved.
发表于 2025-3-28 01:38:01 | 显示全部楼层
Encyclopedia of Earth Sciences Seriestwo well-known population-based algorithms: particle swarm optimisation and differential evolution when applied to benchmark continuous optimisation problems. We also offer a comparative visual analysis of the search dynamics in terms of merged search trajectory networks.
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Dennis Odijk,Peter J. G. Teunissenshow that the learning approach does not only lead to different fitness levels, but also to different (bigger) robots. This constitutes a quantitative demonstration that changes in brains, i.e., controllers, can induce changes in the bodies, i.e., morphologies.
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