A Multi Dynamic Intelligence Algorithm and Its Application to Engineering Problems
Shafi Ullah Khan, Department of Electronics, Islamia College University Peshawar, Pakistan.
Gahafar Ali Khan, Department of Computer Science, Institute of Management Sciences, Peshawar, Pakistan.
Izaz Mahmood, Department of Electronics, Islamia College University Peshawar, Pakistan.
Corresponding Author:
Shafi Ullah Khan (shafielectronics@icp.edu.pk)
Abstract:
PSO is inspired from birds flocking and school fishing and derivative free and easy to implement. Moreover, the current PSO method have premature convergence problem. To handle this issue a novel best candidates and modified control parameter are participated in the search process. The novel ideas improves the basic PSO performance. Another advantage of the new version of PSO that it maintain the candidates in proper directions and as result the algorithm finds the optimal solution. Viewing the simulation observation and results shows that proposed algorithm performs well as compared to other one.
Keywords:
PSO; Swarm Intelligence; Optimization; Global Best Position; Control Parameter