نتایج جستجو برای: improved particle swarm optimization

تعداد نتایج: 901286  

Journal: :journal of advances in computer research 2013
mani ashouri seyed mehdi hosseini

the gravitational search algorithm (gsa) is a novel optimization methodbased on the law of gravity and mass interactions. it has good ability to search forthe global optimum, but its searching speed is really slow in the last iterations. sothe hybridization of particle swarm optimization (pso) and gsa can resolve theaforementioned problem. in this paper, a modified pso, which the movement ofpar...

Journal: :تحقیقات مالی 0
رضا راعی دانشیار دانشکده مدیریت دانشگاه تهران، ایران هدایت علی بیکی دانشجوی کارشناسی ارشد مدیریت مالی دانشکده مدیریت دانشگاه تهران

the markowitz’s optimization problem is considered as a standard quadratic programming problem that has exact mathematical solutions. considering real world limits and conditions, the portfolio optimization problem is a mixed quadratic and integer programming problem for which efficient algorithms do not exist. therefore, the use of meta-heuristic methods such as neural networks and evolutionar...

Journal: :IJAEC 2013
Morteza Alinia Ahandani Hosein Alavi-Rad Nooreddin Jafari

The frequency modulation sound parameter identification is a complex multimodal optimization problem. This problem is modeled in the form of a cost function that is the sum-squared error between the samples of estimated wave and the samples of real wave. In this research, the authors propose a shuffled particle swarm optimization algorithm to solve this problem. In the shuffled particle swam op...

Journal: :Appl. Soft Comput. 2013
Aiman H. El-Maleh Ahmad T. Sheikh Sadiq M. Sait

State assignment (SA) for finite state machines (FSMs) is one of the main optimization problems in the synthesis of sequential circuits. It determines the complexity of its combinational circuit and thus area, delay, testability and power dissipation of its implementation. Particle swarm optimization (PSO) is a nondeterministic heuristic that optimizes a problem by iteratively trying to improve...

2013
Priyanka Sharma Asha Mishra

Back propagation algorithm (BPA) have the complexity, local minima problem so we are using Particle Swarm optimization (PSO) algorithms to reduce and optimize BPA. In this paper, two variants of Particle Swarm Optimization (PSO) PSO_Hill and PSO_A* is used as optimization algorithm. PSO_Hill and PSO_A* algorithms are analyzed and evaluated on the basis of their advantages, applied to feed forwa...

2017
Manali Patel Manish Kumar Srivastava

Research Scholar ,Dept. Of Electrical Engineering,S.I.E.T.,SHAUTS,U.P,INDIA Head of the Department ,Dept. Of Electrical Engineering, S.I.E.T.,SHAUTS,U.P,INDIA ---------------------------------------------------------------------------***----------------------------------------------------------------------------ABSTRACT: In this paper we are simplify the model of an islanded micro-grid systems ...

Induction motors are so important in industry, so their protection and maintenance seem a vital issue. Continuous control of structural parameter of such motors is the way that can protect them. Appearance of a small problem in motor can change the value of structural parameter of    squirrel cage induction motor, such as; resistances of stator and rotor, inductances of stator an...

2007
Jiann-Horng Lin Chun-Kai Wang

In this paper, we incorporate pheromone courtship mode of biology to improve particle swarm optimizer. The particle swarm optimization technique has ever since turned out to be a competitor in the field of numerical optimization. A particle swarm optimization consists of a number of individuals refining their knowledge of the given search space. Particle swarm optimizations are inspired by part...

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