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Titlebook: Hybrid Metaheuristics; 10th International W Maria J. Blesa,Christian Blum,El-Ghazali Talbi Conference proceedings 2016 Springer Internation

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Variable Neighbourhood Descent with Memory: A Hybrid Metaheuristic for Supermarket Resupply,quality solutions, with the fewest routes or shortest distances, amongst the methods tested. It is capable of finding the best known solutions to 55 of 176 published benchmarks as well as producing the best results on our real-world data set, supplied by Transfaction Ltd.
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DEEPSAM: A Hybrid Evolutionary Algorithm for the Prediction of Biomolecules Structure,ensemble of structures close enough structurally and energetically to the native structure. The results obtained until now show that DEEPSAM is a powerful structure predictor, when a reliable FF parameters set is available. DEEPSAM’s implementation is time-efficient, and requires modest computational resources.
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Multi-chaotic Approach for Particle Acceleration in PSO,umber generators (CPRNGs) are used to guide the particles movement through multiplying the accelerating constants. Different CPRNGs are used simultaneously in order to improve the performance of the algorithm. The IEEE CEC’13 benchmark suite is used to test the performance of the proposed method.
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Dealing with the Strategic Level of Decisions Related to Automated Transit Networks: A Hybrid Heurition demands. A hybrid heuristic approach is developed while taking into account the objective of finding good quality solutions in a short computational time. Computational results performed in this study demonstrate the efficiency of our approach.
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