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Titlebook: Cuckoo Search and Firefly Algorithm; Theory and Applicati Xin-She Yang Book 2014 Springer International Publishing Switzerland 2014 Computa

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楼主: ACE313
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Optimization of Queueing Structures by Firefly Algorithm, queueing system with finite number of jobs are presented. We consider structural optimization, for example maximization of overall profits and minimizing costs controlled by the number of servers. We show the results of performed experiments.
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Multi-Objective Optimization of a Real-World Manufacturing Process Using Cuckoo Search,ied-up capital. As in most real-world problems, the two optimization objectives are conflicting and improving performance on one of them deteriorates performance of the other. To handle the conflicting objectives, the original Cuckoo Search algorithm is extended based on the concepts of multi-objective Pareto-optimization.
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Javier López-Gil Antoñanzas: Art Lover we describe how the Cuckoo Search algorithm can be used to train a spiking neuron and determine the best way to compute the input current for solving a pattern classification task. The accuracy of the methodology is tested using several pattern recognition problems.
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Introduction: A Business Point of Viewerformed FA in terms of reliability and effectiveness in all tested benchmark problems. In some cases, the global minimum could not have been successfully identified via the firefly algorithm, except with the proposed modification for FA.
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