Fundamentals of Computational Swarm Intelligence
Fundamentals of Computational Swarm Intelligence
Population structure and particle swarm performance
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Population structure and particle swarm performance
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Multiobjective optimization using dynamic neighborhood particle swarm optimization
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients
IEEE Transactions on Evolutionary Computation
Locating and tracking multiple dynamic optima by a particle swarm model using speciation
IEEE Transactions on Evolutionary Computation
Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Evolutionary Computation
Growing Particle Swarm Optimizers with a Population-Dependent Parameter
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
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This paper presents an application of the particle swarm optimizers to multi-objective problems in design of switching inverters. In the algorithm, the particles represent switching angles and move to optimize two objectives: minimizing the total harmonic distortion and setting the desired total power. This two-objective problem is important to realize smooth speed control of ac machine drivers. Performing basic numerical experiments, we have confirmed that the method can find efficient switching angles that realize efficient operation.