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

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Merited

0302-9743 Overview: Fast track conference proceeding.Unique visibility.State of the art research978-3-642-12138-8978-3-642-12139-5Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Iatrogenic

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/e/image/317888.jpg

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Evocative

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Pushing Forward in Europe and Beyond, . facilities, anticipating that the follower will react to the decision by opening his own . facilities. The decision makers try to maximize their own profits. This Stackelberg game is .-hard. So, we develop a hybrid memetic algorithm for it. A probabilistic tabu search heuristic is applied for imp

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https://doi.org/10.1007/978-94-011-4744-6e total cost of actions, or the total makespan, by generating ordered sequences of intermediate goals via artificial evolution, and calling an external planner to solve each subproblem in turn. . can theoretically use any embedded planner. However, since the introduction of this approach only one em

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https://doi.org/10.1057/9780230514034ded problems. This method is now applied to permutation based problems. As demanded by Schiavinotto and Stützle, the distance in a search space is calculated by regarding the steps of the (neighborhood) operator. In this paper the five most common operators for permutations are analyzed on symmetric