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Particle Swarm Optimization (PSO)

Hansraj *, Bijesh Yadav, Anjana Gupta
Department of Applied Mathematics, Delhi Technological University, Delhi-110042, India

hansul0801@gmail.com, bijeshyadav639@gmail.com, anjanagupta@dce.ac.in

Abstract—Particle Swarm Optimization (PSO) is a type of optimization algorithm that is based on the behavior of social animals. It represents a collection of possible solutions to an optimization problem as a swarm of particles that move through the parameter space. The movement of the particles is guided by their own performance and the performance of their neighbors, leading to an optimized solution. In this paper we are solved linear programming problems, transportation problem using Particle Swarm Optimization and applying on a Data Set.

Index Terms—Particle Swarm Optimization (PSO), Swarm In- telligence, Current Position, Current Velocity, Individual Perfect or (Pbest), Global Best (Gbest).