Titlebook: Evolutionary Computation in Combinatorial Optimization; 15th European Confer Gabriela Ochoa,Francisco Chicano Conference proceedings 2015 S

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Ettore Majorana,Massimo Inguscioal is to deploy a given number of firefighters on strategic points at each time step to contain the fire in a most efficient way, so that as many areas are saved from the fire as possible. In this paper we introduce a new solution representation for the FFP which can be applied in metaheuristic appr

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Fundamental Theories of Physicsng problem, in which the nodes are partitioned into clusters, and the vehicle routing problem with stochastic demands, where the exact demands of the nodes are not known beforehand. It is an NP-hard problem for which we propose a variable neighborhood search (VNS) approach to minimize the expected t

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Separation De Deux Ensembles Convexes,times and time windows, the goal is to maximize the total of scores collected by a particular route considering a predefined time window during which the service has to start. We propose an Iterated Local Search (ILS) algorithm to solve the OPTW, which is based on several . operations, such as ., .,

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https://doi.org/10.1007/BFb0080456tion. This paper presents a theoretical investigation of a multi-objective optimisation evolutionary algorithm for solving the 0-1 knapsack problem. Two initialisation methods are considered in?the algorithm: local search initialisation and greedy search initialisation. Then the solution quality of

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Kapitel 7: Hauptergebnisse der Untersuchung,arameters to be set by hand. The population of solutions in GC-AIS is dynamic in nature and has no restrictions on its size which can cause problems of population explosion, where the population keeps growing very rapidly, leading to wasteful fitness evaluations. In this paper we try to address this

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