Implementation of Particle Swarm Algorithm in Optimization Approach Using Simulation

Document Type: Research Paper

Authors

Abstract

Optimization through simulation is considered an
efficient tool in dealing with optimization problems. It’s a tool that is
capable to cover real world problems to a much more complete way than the other
optimization tools. The problem of this tool is the necessity of heavy
processing computations. This problem is caused not only since the simulation
process is time consuming, but the objective function value at a point of the
solution space is required to simulate multiple performances. Meta-models are
approaches to deal with this dilemma and have other problems that limit their
use. Meta-model remodel the simulation model; it reduces the complexity of the
model and yet the model still further away from the real world In this paper,
the particle swarm optimization is modified so that can addition to remove the
meta-models, reduce time to achieve optimal response.

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