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Bio-inspired techniques and swarm intelligence are used to solve complex problems. In this paper, two new variants of AS-PSO (Ant Supervised by Particle Swarm optimization) meta-heuristic are proposed and applied to a classical travelling salesman benchmark problem. The new variants are Fuzzy-AS-PSO and Simplified AS-PSO (S-AS-PSO). AS-PSO is a hierarchical meta-heuristic based on the ant colony optimisation...
This paper investigates the relative performances of PSO variants when used to solve inverse kinematics. Inverse kinematics is a key issue in robotics; for problems such as path planning, motion generation or trajectories optimization, they are classically involved. In the specific case of articulated robotics, inverse kinematics is needed to generate the joint motions, correspondent to a known target...
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