39,90 € *

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Four modified versions of particle swarm optimizer (PSO) have been applied to the economic power dispatch with valve-point effects. In order to obtain the optimal solution, traditional PSO search a new position around the current position. The proposed strategies which explore the vicinity of particle's best position found so as far leads to a better result. In addition, to deal with the equality constraint of the economic dispatch problems, a simple mechanism is also devised that the difference of the demanded load and total generating power is evenly shared among units except the one reaching its generating limit. To show their capability, the proposed algorithms are applied to thirteen.Comparision among particle swarm optimization is given. The results show that the proposed algorithms indeed produce more optimal solutions in both cases.

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Erscheinungsdatum: 27.05.2014, Medium: Taschenbuch, Einband: Kartoniert / Broschiert, Titel: Particle swarm optimizer: Economic dispatch with valve point effect using various PSO techniques, Autor: Jambulingam, Vikramarajan, Verlag: Anchor Academic Publishing, Sprache: Englisch, Rubrik: Biologie // Sonstiges, Seiten: 68, Informationen: Paperback, Gewicht: 122 gr, Verkäufer: averdo

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68,00 € *

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Erscheinungsdatum: 05/2010, Medium: Taschenbuch, Einband: Kartoniert / Broschiert, Titel: Personal Best Oriented Particle Swarm Optimizer, Titelzusatz: and Its Application to Economic Dispatch Problems, Autor: Chen, Chang-Huang, Verlag: LAP Lambert Acad. Publ., Sprache: Englisch, Rubrik: Elektronik // Elektrotechnik, Nachrichtentechnik, Seiten: 168, Informationen: Paperback, Gewicht: 267 gr, Verkäufer: averdo

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36,00 € *

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Four modified versions of particle swarm optimizer (PSO) have been applied to the economic power dispatch with valve-point effects. In order to obtain the optimal solution, traditional PSO search a new position around the current position. The proposed strategies which explore the vicinity of particle s best position found so as far leads to a better result. In addition, to deal with the equality constraint of the economic dispatch problems, a simple mechanism is also devised that the difference of the demanded load and total generating power is evenly shared among units except the one reaching its generating limit. To show their capability, the proposed algorithms are applied to thirteen.Comparision among particle swarm optimization is given. The results show that the proposed algorithms indeed produce more optimal solutions in both cases.The different PSO techniques are New PSO, Self-Adaptive PSO and Chaotic PSO Among the different PSO techniques, it is found that Self-Adaptive PSO is better than other PSO techniques in terms of better solutions, speed of convergence, time of execution and robustness but it has more premature convergence.

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Two variants of particle swarm optimization, called personal best PSO(PPSO) and simplified PPSO(SPPSO), are proposed. Empirical studies demonstrate that PPSO usually outperforms PSO both in computation quality and onvergent speed. Moreover, without incurring any new computational and logical operations, PPSO and SPPSO are simple and easy to implement. A first-order difference equation is developed to characterize the behaviors of PPSO and SPPSO. Theoretical analysis depicted that a particle stochastically moves within a region in real space. On each dimension, the center of the region approximately equals to a random weighted mean of the best positions found by an individual and its neighbors. This phenomenon is observed and verified from the trajectory profiles. The feasibility and capability of PPSO and SPPSO are tested on several high dimensional benchmark functions. They are also verified by applied to economic power dispatch problems with various kinds of cost functions as well as different constraints. Experimental results demonstrate that, for most of the problems, PPSO and SPPSO indeed can obtain better solutions than PSO.

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37,49 € *

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Medium: Taschenbuch, Einband: Kartoniert / Broschiert, Titel: Economic Dispatch Using Particle swarm optimizer Techniques, Titelzusatz: Economic dispatch using PSO,NPSO,CPSO and APSO techniques, Autor: Jambulingam, Vikramarajan, Verlag: LAP Lambert Academic Publishing, Sprache: Englisch, Rubrik: Wärme- // Energie-, Kraftwerktechnik, Seiten: 56, Informationen: Paperback, Gewicht: 100 gr, Verkäufer: averdo

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Civil engineering structures such as buildings, bridges, stadiums, and offshore structures play an import role in our daily life. However, constructing these structures requires lots of budget. Thus, how to cost-efficiently design structures satisfying all required design constraints is an important factor to structural engineers. Traditionally, mathematical gradient-based optimal techniques have been applied to the design of optimal structures. While, many practical engineering optimal problems are very complex and hard to solve by traditional method. In the past few decades, swarm intelligence algorithms, which were inspired by the social behaviour of natural animals such as fish schooling and bird flocking, were developed because they do not require conventional mathematical assumptions and thus possess better global search abilities than the traditional optimization algorithms and have attracted more and more attention. These intelligent based algorithms are very suitable for continuous and discrete design variable problems such as ready-made structural members and have been vigorously applied to various structural design problems and obtained good results. This book gathers the authors' latest research work related with particle swarm optimizer algorithm and group search optimizer algorithm as well as their application to structural optimal design. The readers can understand the full spectrum of the algorithms and apply the algorithms to their own research problems.

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