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Traveling salesman problem (TSP) is a well known combinatorial optimization problems. Ant Colony Algorithm (AC) is new Heuristic Optimization Algorithm. It is widely used in TSP. Ant Colony System (ACS) is the improvement of AC, but it is still not enough being perfect, WMASC follows this approach and tries to improve the performance of ACS algorithm by improving multiple ants and the worst ant which...
The optimization of a supply chain is a very hard problem for classical optimization methods. Some evolutionary algorithms have been used to deal with supply chain problem recently. In this paper, Migration Differential Evolution (MDE) is proposed by imitating nomadic migration for this supply chain problem, and an ensemble method based on different Differential Evolutions (DEs) has been presented,...
Chaotic Immune evolutionary algorithm (CIEA) is proposed on the shortage of current algorithms training artificial neural network, biological immune mechanism and the characteristics of evolution. A novel artificial neural network based on chaotic immune evolutionary algorithm (CIEANN) is presented in this paper. The algorithm has the merits of chaos, immunity and evolutionary algorithm. It can ensure...
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