Qamar Abbas

Oct 24, 2023 | mdpi.com | Omer Ali |Qamar Abbas |Khalid Mahmood |Ernesto Bautista Thompson

1. IntroductionParticle swarm optimization (PSO) was initially introduced by Kennedy and Eberhart [1]. PSO is a simple stochastic searching technique for optimization that is motivated by the ordinary swarming comportment of bird clustering and fish schooling. The performance of PSO in finding virtuous solutions for optimization problems is very good. The PSO algorithm has the advantage of fast convergence, easy code implementation, less computational complexity, and few parameter adjustments [2,3].

Oct 13, 2023 | mdpi.com | Qamar Abbas |Jamil Ahmad |Khalid Mahmood |Muhammad Hassan Baig

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Sep 25, 2023 | mdpi.com | Aadil Bashir |Qamar Abbas |Khalid Mahmood |Mejdl Safran

1. IntroductionOptimization is the process of obtaining the best value decision variables for a given set of constraints [1]. Today, optimization is considered a very important area of research to solve real-world problems in engineering, business, industry, and computer science. Evolutionary algorithms have been widely adopted in different domains and are considered to be very effective in solving real-world optimization problems [2].

Apr 3, 2023 | dailymotion.com | Qamar Abbas

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