نتایج جستجو برای: objective particle swarm optimization mopso

تعداد نتایج: 998471  

2016
Yongpeng Shen Zhendong He Dongqi Liu Binjie Xu Omar Hegazy

Auxiliary power units (APUs) are widely used for electric power generation in various types of electric vehicles, improvements in fuel economy and emissions of these vehicles directly depend on the operating point of the APUs. In order to balance the conflicting goals of fuel consumption and emissions reduction in the process of operating point choice, the APU operating point optimization probl...

2015
Mojtaba Tahani Narek Babayan Fatemeh Razi Astaraei Ali Moghadam

The performance of horizontal axis tidal current turbines (HATCT) strongly depends on their geometry. According to this fact, the optimum performance will be achieved by optimized geometry. In this research study, the multi objective optimization of the HATCT is carried out by using four different multi objective optimization algorithms and their performance is evaluated in combination with bla...

Journal: :Appl. Soft Comput. 2011
Antonio C. Briza Prospero C. Naval

Stock traders consider several factors or objectives in making decisions. Moreover, they differ in the importance they attach to each of these objectives. This requires a tool that can provide an optimal tradeoff among different objectives, a problem aptly solved by a multi-objective optimization (MOO) system. This paper aims to investigate the application of multi-objective optimization to end...

برکاتی, سید مسعود , توکلی افشار, سعید , حجتی نجف آبادی, ابراهیم ,

The application of Flexible AC Transmission System (FACTS) devices shows that they can control the power system technical parameters effectively. However, optimal placement and sizing of them are difficult problems and analytical methods cannot be used to solve these problems. To solve such problems, some evolutionary algorithms are employed. The efficiency of these algorithms is related to the...

Journal: :Chinese Journal of Systems Engineering and Electronics 2021

In a typical discrete manufacturing process, new type of reconfigurable production line is introduced, which aims to help small- and mid-size enterprises improve machine utilization reduce cost. order effectively handle the scheduling problem for system, an improved multi-objective particle swarm optimization algorithm based on Brownian motion (MOPSO-BM) proposed. Since existing MOPSO algorithm...

2005
George S. Dulikravich Ramon J. Moral Debasis Sahoo

A new hybrid multi-objective, multivariable optimizer utilizing Strength Pareto Evolutionary Algorithm (SPEA), Non-dominated Sorting Differential Evolution (NSDE), and Multi-Objective Particle Swarm (MOPSO) has been created and tested. The optimizer features automatic switching among these algorithms to expedite the convergence of the optimal Pareto front in the objective function(s) space. The...

Journal: :journal of ai and data mining 2014
syed abbas taher mojtaba pakdel

for multi-objective optimal reactive power dispatch (morpd), a new approach is proposed where simultaneous minimization of the active power transmission loss, the bus voltage deviation and the voltage stability index of a power system are achieved. optimal settings of continuous and discrete control variables (e.g. generator voltages, tap positions of tap changing transformers and the number of...

Journal: :Computational Intelligence and Neuroscience 2016

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