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In this paper, it is to apply genetic programming to explore some new chaotic systems. Based on a tree representation, each function in the state dynamical equation of a chaotic system can be well defined. Thus, through the optimization process governed by genetic programming, it is demonstrated that some new potential forms can be determined, for which chaotic systems are obtained by having tuning...
Multi-depot vehicle routing problem (MDVRP) is well-known as a combinatorial optimization problem and it is NP-completed. Existing methods are commonly heuristics, and hence the solutions are suboptimal. In this paper, with a novel design of chromosome structure, a multiple objective genetic algorithm is proposed to tackle with this problem, such that two objectives, namely the total travel distances...
In this paper, a jumping-genes paradigm is proposed for optimizing the wireless local area network for an integrated-circuit factory. Through the base station placement, not only the best quality of service of the network is guaranteed, but also the performance of the network can be a tradeoff with the number of allowable base stations. This provides a greater flexibility for the designer when the...
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