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The magnetic particle swarm (MPS) algorithm is an approach based on the phenomenon dipole repulsion by a magnetic field. In this paper, a new version of this algorithm, which employs an estimation of distribution step as an additional search heuristic, is proposed and applied to seven well-known test functions for 30-dimensional, 120-dimensional and 1000-dimensional search spaces. The performance...
In this paper, we propose a new particle swarm approach based on the idea of repulsion by a magnetic field. The structure of the method is presented and, using a number of well-known benchmark functions in a 30-dimension search space, its performance is compared to that of well-established algorithms of similar inspiration. The global search potential of the proposal is also analyzed with the aid...
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