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Genetic algorithms (GAs) generally maintain diverse solutions of good quality in multi-objective problems, while particle swarm optimization (PSO) shows rapid convergence to the optimum solution. Previous studies indicated that search abilities can be improved by simply coupling these two algorithms; GA compensates for the low diversity of PSO, while PSO compensates for the high computational costs...
A novel optimization algorithm is proposed here that is inspired by the principles of magnetic field theory. In the proposed Magnetic Optimization Algorithm (MOA) the possible solutions are magnetic particles scattered in the search space. Each magnetic particle has a measure of mass and magnetic field according to its fitness. The fitter magnetic particles are those with higher magnetic field and...
With the development of logistics technology, automated storage and retrieval systems (AS/RS) is more widely used in logistics industry. It has been a hot research of improving the efficiency of automatic warehouse by the reasonable control strategy of location assignment. In this paper, the location assignment strategies of an automated warehouse were discussed, and the mathematical model of the...
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