A Particle Swarm Optimization algorithm with feasibility-based rules (FRPSO) is proposed in this paper to solve mixed-variable optimization problems. An approach to handle various ...
In wireless networks, the channels are often subject to random variations that limit the reliability of communications between any two radios. Geographic transmission strategies ca...
Murali Rao, Tathagata D. Goswami, Joseph Glover, J...
Maximin strategy has its origin in game theory, but it can be adopted for effective multiobjective optimization. This paper proposes a particle swarm multiobjective optimiser, max...
Discrete-event simulation is widely used to analyse and improve the performance of manufacturing systems. The related optimization problem often includes integer design variables ...
S. J. Abspoel, L. F. P. Etman, J. Vervoort, J. E. ...
The interaction among particles is a vital aspect of Particle Swarm Optimization. As such, it has a strong influence on the swarm’s success. In this study various approaches re...