نتایج جستجو برای: particle swarm optimization mass ratio effect

تعداد نتایج: 2839734  

Journal: :journal of agricultural science and technology 0
s. rezazi laboratory of biomaterials and transport phenomena (lbmtp), faculty of science and technology, university of medea, street ain d'heb, medea, algeria s. hanini laboratory of biomaterials and transport phenomena (lbmtp), faculty of science and technology, university of medea, street ain d'heb, medea, algeria c. si-moussa laboratory of biomaterials and transport phenomena (lbmtp), faculty of science and technology, university of medea, street ain d'heb, medea, algeria s. abdelmalek hassiba benbouali university of chlef, faculty of technologies, department of electronics, ouled fares-chlef, algeria.

recently, increasing attention has been directed to the isolation of natural active components from various medicinal plants. in the present research, the extraction of essential oil from horehound (m. vulgare l.) is presented. effects of mass ratio and particle size on the process performance were studied and kinetics were determined. the chemical composition of the volatiles present in m. vul...

Journal: :advances in railway engineering,an international journal 2013
masoud rabbani neda manavizadeh a shamekhi

in this article, multiple-product pvrp with pickup and delivery that is used widely in goods distribution or other service companies, especially by railways, was introduced. a mathematical formulation was provided for this problem. each product had a set of vehicles which could carry the product and pickup and delivery could simultaneously occur. to solve the problem, two meta-heuristic methods...

Journal: :journal of advances in computer research 0

blind source separation technique separates mixed signals blindly without any information on the mixing system. in this paper, we have used two evolutionary algorithms, namely, genetic algorithm and particle swarm optimization for blind source separation. in these techniques a novel fitness function that is based on the mutual information and high order statistics is proposed. in order to evalu...

پایان نامه :دانشگاه آزاد اسلامی - دانشگاه آزاد اسلامی واحد تهران مرکزی - دانشکده برق و الکترونیک 1390

there are many approaches for solving variety combinatorial optimization problems (np-compelete) that devided to exact solutions and approximate solutions. exact methods can only be used for very small size instances due to their expontional search space. for real-world problems, we have to employ approximate methods such as evolutionary algorithms (eas) that find a near-optimal solution in a r...

Journal: :international journal of civil engineering 0
a. kaveh iust a. nasrolahi iust

in this paper, a new enhanced version of the particle swarm optimization (pso) is presented. an important modification is made by adding probabilistic functions into pso, and it is named probabilistic particle swarm optimization (ppso). since the variation of the velocity of particles in pso constitutes its search engine, it should provide two phases of optimization process which are: explorati...

Journal: :transactions on combinatorics 2013
soniya lalwani sorabh singhal rajesh kumar nilama gupta

numerous problems encountered in real life cannot be actually formulated as a single objective problem; hence the requirement of multi-objective optimization (moo) had arisen several years ago. due to the complexities in such type of problems powerful heuristic techniques were needed, which has been strongly satisfied by swarm intelligence (si) techniques. particle swarm optimization (pso) has ...

In this article, multiple-product PVRP with pickup and delivery that is used widely in goods distribution or other service companies, especially by railways, was introduced. A mathematical formulation was provided for this problem. Each product had a set of vehicles which could carry the product and pickup and delivery could simultaneously occur. To solve the problem, two meta-heuristic methods...

Journal: :civil engineering infrastructures journal 0
hessamoddin meshkat razavi ph.d. candidate, department of civil engineering, faculty of engineering, ferdowsi university of mashhad, mashhad, iran hashem shariatmadar associated professor, department of civil engineering, faculty of engineering, ferdowsi university of mashhad, mashhad, iran

this study is investigated the optimum parameters for a tuned mass damper (tmd) under the seismic excitation. shuffled complex evolution (sce) is a meta-heuristic optimization method which is used to find the optimum damping and tuning frequency ratio for a tmd. the efficiency of the tmd is evaluated by decreasing the structural displacement dynamic magnification factor (ddmf) and acceleration ...

Journal: :journal of medical signals and sensors 0
zahra assarzadeh ahmad reza naghsh nilchi

in this paper, a chaotic particle swarm optimization with mutation-based classifier particle swarm optimization is proposed to classifypatterns of different classes in the feature space. the introduced mutation operators and chaotic sequences allows us to overcomethe problem of early convergence into a local minima associated with particle swarm optimization algorithms. that is, the mutationope...

Blind source separation technique separates mixed signals blindly without any information on the mixing system. In this paper, we have used two evolutionary algorithms, namely, genetic algorithm and particle swarm optimization for blind source separation. In these techniques a novel fitness function that is based on the mutual information and high order statistics is proposed. In order to evalu...

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