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, both at the level of theory as well as application, in order to design efficient evolutionary algorithms for solving wide … describe traditional forms of Evolutionary Optimization Systems such as Genetic Algorithms, Evolutionary Strategies …
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A simulation methodology, which trades space complexity with time complexity, to create the Hopfield neural network weight matrix, the costliest data structure for simulation of Hopfield neural network algorithm for large-scale optimization problems, is proposed. Modular composition of a weight...
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This article describes how parallel to the continuous growth of the Internet, which allows people to share and collaborate more, social networks have become more attractive as a research topic in many different disciplines. Community structures are established upon interactions between people....
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An optimization strategy based on head losses minimization is developed for the least cost design of water distribution networks. A new weighting approach is suggested for calculating the initial flow distribution and optimum pipe diameters of the weighted flow distribution is presented by using...
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, amongst the architectural community, where probabilistic evolutionary algorithms or other derivative-free methods have been …
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