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Titlebook: Evolutionary Computation in Combinatorial Optimization; 10th European Confer Peter Cowling,Peter Merz Conference proceedings 2010 Springer-

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,Eastern Europe and the ‘Return to Europe’,roblem is a component in algorithms for optimizing data compression when computing a function of two correlated sources at a receiver. Our genetic algorithm for minimizing chromatic entropy uses an order-based genome inspired by graph coloring genetic algorithms, as well as some problem-specific heu
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European Accountancy Yearbook 1992/93e proposed. As these models are difficult to solve, a nested solution procedure is proposed. The best sensor locations are sought by tabu search in the upper level. For the fixed sensor locations, the remaining problem of determining sink locations and data routes are solved efficiently in the lower
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https://doi.org/10.1007/978-3-540-35647-9y, the task of finding a decomposition of minimum width is NP-complete itself. Therefore, several heuristic and metaheuristic methods have been developed for this problem. In this paper we investigate the application of different variants of Ant Colony Optimization algorithms for the generation of t
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P. Potthoff,R. Diehl,A. Schrappe entities is strongly hierarchized, affecting the design and handling of constraints and algorithms used to solve the problem. Moreover there is also an increase in the constraint number when compared to the common test instances. Several well known meta-heuristics were used, new constraints develo
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https://doi.org/10.1007/978-3-319-07338-5rating tabu search into the framework of genetic algorithm. In this paper, we propose a new multi-parent combination operator for generating offspring solutions. A pool updating strategy based on a quality-and-distance criterion is used to manage the population. Experimental comparisons with leading
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