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Particle Swarm Optimization Algorithm, which proved to be a powerful unbiased optimization technique for sampling a large … enhancement is done using hybridized smoothening filters by The Particle Swarm Optimization algorithm and compared it with the … Genetic Algorithm …
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swarm optimization algorithm is used to solve the channel assignment problem. The performance is verified with Philadelphia …
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player. In this paper we apply a new population-based algorithm called particle swarm optimization to the problem and employ … proposed particle swarm optimization algorithm constitutes an attractive alternative for solving the optimal product line … concepts from game theory to illustrate how the algorithm can be extended to incorporate retaliatory actions from competitors …
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Traditional time series forecasting models are difficult to capture the nonlinear patterns. Support vector regression (SVR) has been successfully used to solve nonlinear regression and times series problems. However, parameters determination for a SVR model is competent to the forecasting...
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