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Titlebook: Recent Advances in Swarm Intelligence and Evolutionary Computation; Xin-She Yang Book 2015 Springer International Publishing Switzerland 2

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21#
發(fā)表于 2025-3-25 03:34:50 | 只看該作者
1860-949X ications.Reviews both theoretical studies and applications w.This timely review volume summarizes the state-of-the-art developments in nature-inspired algorithms and applications with the emphasis on swarm intelligence and bio-inspired computation. Topics include the analysis and overview of swarm i
22#
發(fā)表于 2025-3-25 08:08:14 | 只看該作者
23#
發(fā)表于 2025-3-25 12:07:41 | 只看該作者
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發(fā)表于 2025-3-25 18:30:50 | 只看該作者
Fireflies in the Fruits and Vegetables: Combining the Firefly Algorithm with Goal Programming for Stables. Two case studies are considered. For both cases, the functional form of the osmotic dehydration model is established using response surface techniques with the resulting optimization formulations being non-linear goal programming models. For optimization purposes, a computationally efficient
25#
發(fā)表于 2025-3-25 23:47:09 | 只看該作者
26#
發(fā)表于 2025-3-26 03:08:19 | 只看該作者
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發(fā)表于 2025-3-26 07:40:30 | 只看該作者
Bat Algorithm Application for the Single Row Facility Layout Problem,al operations in manufacturing systems. A good placement of facilities contributes to the overall efficiency of operations and reduces total operating expenses. Because of its importance, the facility layout problem has attracted attention in the research community. However, layout problems are know
28#
發(fā)表于 2025-3-26 12:14:03 | 只看該作者
29#
發(fā)表于 2025-3-26 15:22:14 | 只看該作者
Cuckoo Search and Bat Algorithm Applied to Training Feed-Forward Neural Networks,telligence metaheuristics have been successfully used for such optimization problems. In this chapter we present how cuckoo search and bat algorithm, as well as the modified version of the bat algorithm, were adjusted and applied to the training of feed-forward neural networks. We used these three a
30#
發(fā)表于 2025-3-26 18:44:34 | 只看該作者
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