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Titlebook: Recent Developments in Metaheuristics; Lionel Amodeo,El-Ghazali Talbi,Farouk Yalaoui Book 2018 Springer International Publishing AG 2018 M

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Manufacturing Cell Formation Problem Using Hybrid Cuckoo Search Algorithm,thm entitled thecuckoo search algorithm for solving this kind of problems. The proposed method is tested on different benchmark problems; the obtained results are then compared to others available in the literature. The comparison result reveals that on 31 out of 35 problems (88.57%) the results of the introduced method are among the best results.
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A Metaheuristic Framework for Dynamic Network Flow Problems,d in both single and population based algorithms. Therefore, basic search techniques are proposed such as the crossover or the mutation. Moreover, solution representations are given within a general metaheuristical scheme. In addition, we assess a genetic algorithm by an experimental study is conducted on a case study of a building evacuation.
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Matheuristics for the Temporal Bin Packing Problem,ic. We perform extensive computational experiments on benchmark instances to evaluate the quality of the computed solutions with respect to strong bounds based on the linear programming relaxation of the proposed formulations.
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POSL: A Parallel-Oriented Metaheuristic-Based Solver Language,major feature in . is the possibility to share not only information, but also behaviors, allowing solver modifications during runtime. Our framework has been designed to easily build constraint-based solvers and reduce the developing effort in the context of parallel architecture. .’s main advantage
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Hybrid Metaheuristic for Air Traffic Management with Uncertainty,re robustness of the strategic trajectory plan, the aircraft arrival time to any given position will be represented here by a probabilistic distribution over its nominal assigned arrival time. The proposed approach optimizes the 4D trajectory of each aircraft so as to minimize the probability of pot
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A Greedy Randomized Adaptive Search for the Surveillance Patrol Vehicle Routing Problem,blem a Greedy Randomized Adaptive Search algorithm (GRASP), is used to provide good solutions and a further GRASP algorithm is used to generate pools of good solutions. The quality of a pool is measured both in terms of averaged quality of the solutions in the pools and in terms of diversity among e
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