A Lévy search strategy based chaotic artificial bee colony algorithm (LABC) is proposed in this paper. The chaotic sequence, global optimal mechanism and Lévy flight mechanism were introduced respectively in...
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Differential evolution is a simple evolutionary algorithm by simulating Darwinian evolution principle where the population of individuals are evolved and adapted with some reproduction mechanisms such as mutation, cro...
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Muatation operator is the core operators in differential evolution(DE). Many researchers have proposed various versions of improved muatation operators. Most of them balance the exploration and exploitation in a const...
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The multi-point dynamic aggregation (MPDA) is a typical task planning problem. In order to solve the MPDA problem efficiently, a hybrid differential evolution (DE) and estimation of distribution algorithm (EDA) called...
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It is common knowledge that there is no single best strategy for graph clustering, which justifies a plethora of existing approaches. In this paper, we present a general memetic algorithm, VieClus, to tackle the graph...
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One of the most relevant problems in social networks is influence maximization, that is the problem of finding the set of the most influential nodes in a network, for a given influence propagation model. As the proble...
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In computer security, guidance is slim on how to prioritize or con-gure the many available defensive measures, when guidance is available at all. We show how a competitive co-evolutionary algorithm framework can ident...
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The curse of dimensionality is considered a main impediment in improving the optimization of large scale problems. An intuitive method to enhance the scalability of evolutionary algorithms is cooperative coevolution. ...
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Exploratory landscape analysis techniques are widely used methods for the algorithm selection problem. The existing sampling methods for exploratory landscape analysis are usually designed to sample unbiased candidate...
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Teaching-Learning-Based Optimization (TLBO) algorithm is newly developed nature-inspired algorithm for solving large-scale-global optimization problems. The basic TLBO algorithm is modified using the approach of Diffe...
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