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Design Optimization by Using Particle Swarm Optimization in Matlab and Apdl in Ansys

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Executive Summary

For optimization of real time problems it is difficult to generate equations which are to be optimized. Such problems can be optimized by using Design Optimization in ANSYS. But in many cases, it gives an optimum solution which is slightly infeasible which means it slightly violates the constraints. In this paper, the authors' aim is to solve one of such practical problem in ANSYS and optimize it using optimization technique Particle Swarm Optimization (PSO) run from mat-lab. It was found that the result obtained from this case are more reliable than that obtained from Design Optimization in ANSYS, as the optimum solution obtained from the second case is either slightly infeasible or is not the global optimum.

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