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Titlebook: Advances in Swarm Intelligence; 7th International Co Ying Tan,Yuhui Shi,Li Li Conference proceedings 2016 Springer International Publishing

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https://doi.org/10.1007/978-3-030-22250-5O and its impact on the performance of the creating operator is then analyzed. The proposed algorithm is applied to numerical optimization problems in comparison with the BSO with .-means Clustering. Experimental results show that the proposed algorithm achieves satisfactory results and guarantees a high coverage rate.
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Disposition and Fate of Toxicants,/LNS) upon reducing average tardiness by 61.1 %, 2.63 % and 1.77 % respectively. The inclusion of throughput in the model resulted in low tardiness for orders with high speed to make money. Promising directions for future research are also proposed.
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Poisonous and Venomous Organisms,nd genetic algorithms are used simultaneously for this combinatorial optimization problem. Computational experiments are carried out comparing the proposed approach versus QAP formulation. Additionally, the proposed approach was tested using well-known datasets from the literature in order to assure its efficiency.
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Disposition and Fate of Toxicants, neural network was developed to generate velocity–adapted gait by the reference gaits only with the limited set of experimental trials. The experimental results show the efficiency and robust of this approach.
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Solving Flexible Job-Shop Scheduling Problem with Transfer Batches, Setup Times and Multiple Resourc/LNS) upon reducing average tardiness by 61.1 %, 2.63 % and 1.77 % respectively. The inclusion of throughput in the model resulted in low tardiness for orders with high speed to make money. Promising directions for future research are also proposed.
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A Comparative Analysis of Genetic Algorithms and QAP Formulation for Facility Layout Problem: An Appnd genetic algorithms are used simultaneously for this combinatorial optimization problem. Computational experiments are carried out comparing the proposed approach versus QAP formulation. Additionally, the proposed approach was tested using well-known datasets from the literature in order to assure its efficiency.
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Conference proceedings 2016 held in Bali, Indonesia, in June 2016. The 130 revised regular papers presented were carefully reviewed and selected from 231 submissions. The papers are organized in 22 cohesive sections covering major topics of swarm intelligence and related areas such as trend and models of swarm intelligence re
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