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Performance comparison of hybrid electromagnetism-like mechanism algorithms with descent method

Miyajima H., Shigei N., Miyajima H.

Journal of Artificial Intelligence and Soft Computing Research

2015

Vol. 5, No. 4

271--282

Electromagnetism-like Mechanism (EM) method is known as one of metaheuristics. The basic idea is one that a set of parameters is regarded as charged particles and the strength of particles is corresponding to the value of the objective function for the optimization problem. Starting from any set of initial assignment of parameters, the parameters converge to a value including the optimal or semi-optimal parameter based on EM method. One of its drawbacks is that it takes too much time to the convergence of the parameters like other meta-heuristics. In this paper, we introduce hybrid methods combining EM and the descent method such as BP, k-means and FIS and show the performance comparison among some hybrid methods. As a result, it is shown that the hybrid EM method is superior in learning speed and accuracy to the conventional methods.

Optimal resource allocation in stochastic activity networks via the electromagnetism approach: a platform implementation in Java

Tereso A. P., Novais R. A., Araujo M. M., Elmaghraby S. E.

Control and Cybernetics

2009

Vol. 38, no 3

745-782

An optimal resource allocation approach to stochastic multimodal projects had been previously developed by applying a Dynamic Programming model which proved to be very demanding computationally. A new approach, the Electromagnetism-like Mechanism, has also been adopted and implemented in Matlab, to solve this problem. This paper presents the implementation of the Electromagnetism approach using an Object Oriented language, Java, and a distributed version to be run in a computer network, in order to take advantage of available computational resources.