Modified Particle Swarm Optimization Applied to Integrated Demand Response and DG Resources Scheduling
نویسندگان
چکیده
منابع مشابه
Particle swarm optimization algorithm applied to scheduling problems
This research introduces three heuristic algorithms for solving job-shop scheduling problems, job-shop scheduling problems with multi-purpose machines, and open-shop scheduling problems. All these algorithms are based on the particle swarm optimization algorithm, and generate solutions that belong to the class of parameterized active schedules via their specific decoding procedures. Comparison ...
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Acknowledgements I would like to take this space to express my gratitude to the people who made this thesis possible. I express my deepest gratitude to my supervisor professor Dr. Zita A. Vale for all the provided means she gave me to execute this thesis and all the positive energy, productive discussions and exceptional assistance. I greatly appreciate her constant tolerance and expended time ...
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Particle Swarm Optimization (PSO) is a very popular optimization technique, but it suffers from a major drawback of a possible premature convergence i.e. convergence to a local optimum and not to the global optimum. This paper attempts to improve on the reliability of PSO by addressing the drawback. This problem of premature convergence is more probable with the problems, which have the global ...
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production planning and scheduling are the most important issues of the production industries, which have a considerable influence on the productivity of the production systems. although, production planning and scheduling are in two different medium-term and short-term decision making levels, there are a very close relationship between them. ignoring this important feature in production planni...
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In the paper a modified particle swarm optimization (MPSO) is proposed where concepts from firefly algorithm (FA) are borrowed to enhance the performance of particle swarm optimization (PSO). The modifications focus on the velocity vectors of the PSO, which fully use beneficial information of the position of particles and increase randomization item in the PSO. Finally, the performance of the p...
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ژورنال
عنوان ژورنال: IEEE Transactions on Smart Grid
سال: 2013
ISSN: 1949-3053,1949-3061
DOI: 10.1109/tsg.2012.2235866