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, it requires a multidimensional optimization at the same time: what to make, how many to make, where to make and the order … result on a random graph. In this paper, the further development of Genetic Algorithm (GA) for this integrated optimization … the proposed GA is compared with those of three commercial optimization solvers. …
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allows the same customer to be served by more than one vehicle. Existing literature has applied Ant Colony Optimization (ACO …
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Missing value arises in almost all serious statistical analyses and creates numerous problems in processing data in databases. In real world applications, information may be missing due to instrumental errors, optional fields and non-response to some questions in surveys, data entry errors, etc....
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This paper presents a detailed optimization analysis of tower height and rotor diameter for a wide range of small wind … turbines using Genetic Algorithm (GA). In comparison with classical, calculus-based optimization techniques, the GA approach is … known by its reasonable flexibilities and capability to solve complex optimization problems. Here, the values of rotor …
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network with energy consumption. This paper proposes optimization of clustering using genetic algorithm which will help to …
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