An Electromagnetism-like Mechanism for Global Optimization
Journal of Global Optimization
On the Convergence of a Population-Based Global Optimization Algorithm
Journal of Global Optimization
A discrete version of particle swarm optimization for flowshop scheduling problems
Computers and Operations Research
An electromagnetic meta-heuristic for the nurse scheduling problem
Journal of Heuristics
A hybrid electromagnetism-like algorithm for single machine scheduling problem
Expert Systems with Applications: An International Journal
A hybrid discrete particle swarm optimization for the traveling salesman problem
SEAL'06 Proceedings of the 6th international conference on Simulated Evolution And Learning
Applying electromagnetism-like mechanism for feature selection
Information Sciences: an International Journal
Computers and Industrial Engineering
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The electromagnetism-like method (EM) is a meta-heuristic algorithm utilizing an attraction-repulsion mechanism to move sample points (i.e., our solutions) towards the optimality. In general, the EM method has been initially used for solving continuous optimization problems and could not be applied on combinatorial optimization ones. This paper proposes a discrete binary version of the electromagnetism-like method (EM) for solving the combinatorial optimization problems. To show the efficiency of our proposed EM, we use it for solving the traveling salesman problem and compare our computational results with those reported in the literature. Finally we conclude that our method is capable of solving such well-known problems more efficiently than the previous works.