Description: In this project, the standard particles swarm optimization - named here (MyPSO) is simulated and tested by five well-known benchmark functions (Sphere, Ackley, Rastrigin, Rosenbrock and Schwefel p2.26). Then, a new mechanism- named here (Improved MyPSO) is introduced to improve the performance of the standard particles swarm optimization to achieve better results and avoid stagnation at bad results. This new mechanism is also tested by the same benchmark functions. The results of improved PSO are then compared with those of standard PSO and different published improved PSO (SPSO, PSO-XD, CPSO-S and PSO-P5).
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PDF-pso\Particle-swarm-optimization-SI-Vol-1.pdf
.......\Phase Angle.pdf
.......\pso_research_toolbox_documentation.pdf
.......\PSO_tutorial_SIS05JimKTut.pdf
.......\RegPSO.pdf
.......\RegPSO_slides.pdf
.......\richards.ijcnn04.pdf
.......\SCP-CCPSO-preprint.pdf
.......\SPSO_descriptions.pdf
.......\thesis.pdf
.......\2.pdf
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.......\5.pdf
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.......\04223168.pdf
.......\05508147.pdf
.......\05607606.pdf
.......\06007423.pdf
.......\A07 - A-review-of-particle-swarm-optimization-PartII.pdf
.......\BBOPresentation.pdf
.......\BrattonKennedy07 - Defining a Standard for PSO.pdf
.......\Cauchy Mutation.pdf
.......\inertia weight w weighting.pdf
.......\ISICA07_1.pdf
.......\newest pso.pdf
PDF-pso