Abstract

Simulated annealing, genetic algorithms, evolutionary programming, swarm intelligence, and ant colony optimization are active research areas in Smart and intelligent innovative algorithms. In particular, Particle Swarm Intelligence (PSI) attracts more attentions because of its simplicity and time efficiency. Recent advance on PSI research includes a classification of PSI or Particle Swarm Optimization (PSO) to Standard PSO. A SPSO is supposed to work on most optimization problems (difficult or easy). However, with different problem constraints, no universal SPSO can work for all problems efficiently. Based on the idea of mini-benchmarking proposed by Maurice Clere, specified PSO (SPPSO) algorithms are proposed in this paper to address the four different problems raised in Maurice Clere's work.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.