Titlebook: Hybrid Metaheuristics; 11th International W Maria J. Blesa Aguilera,Christian Blum,Julio Godoy Conference proceedings 2019 Springer Nature

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A Self-adaptive Differential Evolution with Fragment Insertion for the Protein Structure Predictioncture prediction problem. The protein representation is the backbone torsion angles with side chain centroid coordinates. The fragment insertion is made by the Monte Carlo algorithm. The hybrid methods were compared with recent and compatible methods from the literature, where two proposed approache

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Adaptation of Late Acceptance Hill Climbing Algorithm for Optimizing the Office-Space Allocation Presources subject to satisfying a set of given constraints. The constraints in OFA problem is of two types: hard and soft. The hard constraints are the one that must be satisfied for the solution to be feasible while the violation of soft constraints is allowed but it must be reduced as much as possi

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Conference proceedings 2019nuary 2019.. .The 11 revised full papers and 5 short papers presented were carefully reviewed and selected from 23 submissions.?The papers present hybridization strategies and explore the integration?of new techniques coming from other areas of expertise. They cover a variety of topics such as?low-l

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Optimization of the Velocity Profile of a Solar Car Used in the Atacama Desert,stics were tested to achieve an efficient velocity profile for this car in the Atacama 2018 Solar Race: Genetic Algorithm, Simulated Annealing and Iterated Local Search. The three methods provided similar results, with Simulated Annealing being the one that provided better solutions.