Swarm intelligence for permutation optimization: a case study of n-queens problem


This paper introduces a modified Particle Swarm . Optimizer which deals with permutation problems. Particles are defined as permutations of a group of unique values. Velocity updates are redefined based on the similarity of two particles. Particles change their permutations with a random rate defined by their velocities. A mutation factor is introduced to… (More)
DOI: 10.1109/SIS.2003.1202275


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