نتایج جستجو برای: key words genetic algorithm

تعداد نتایج: 1868124  

2008
MILENA LAZAROVA

The paper investigates the efficiency of parallel genetic algorithm for solving N-queens problem on a multicomputer platform. The proposed parallel computational model of the genetic algorithm is based on a parallel algorithmic paradigm of synchronous iterations. Dynamic migration of randomly selected chromosomes in a bidirectional circular model is utilized. The algorithm is implemented using ...

2005
A. SIMA UYAR A. EMRE

The dynamic load balancing problem which can be defined as the effective redistribution of workload among the system processing units during execution time, is dynamic in nature where the load and the processing power of the system may change in time as units of work enter and leave the system and processing units are added to or removed from the processing pool. To address this problem, geneti...

Journal: :مدیریت فناوری اطلاعات 0
محمد تقی تقوی فرد استادیار، گروه مهندسی صنایع، دانشکدۀ مدیریت و حسابداری، دانشگاه علامه طباطبایی، تهران، ایران فریبا سادات حسینی کارشناس ارشد مدیریت فناوری اطلاعات، دانشگاه علامه طباطبایی، تهران، ایران محمد خان بابایی دانشگاه آزاد اسلامی، واحد علوم و تحقیقات تهران، گروه مدیریت فناوری اطلاعات، تهران، ایران

expert systems can help to build banks customers' credit scoring models. here, selection of key features of the credit scoring is important. also, it is possible to express the features values as fuzzy. the problem is how to improve features selection by genetic algorithm, in way that these features can be employed as input in fuzzy expert system. this paper presents a hybrid credit scorin...

Journal: :journal of advances in computer research 0
touraj mohammadpour department of computer engineering, ayatollah amoli branch, islamic azad university, amol, iran mehdi yadollahi department of computer engineering, ayatollah amoli branch, islamic azad university, amol, iran amir massoud bidgoli assistant professor, b.sc., m.sc., ph.d. (manchester university), mieee, tehran north branch, islamic azad university, tehran, iran habib esmaeelzadeh rostam department of computer engineering, ghaemshahr branch, islamic azad university, ghaemshahr, iran

multiple traveling salesman problem (mtsp) is one of the most popular operation research problem and is known as combinatorial optimization problems. mtsp is an extension version of the famous and widely used problem named traveling salesman problem (tsp). because of its benefices in various domains, many researchers have tried to solve that, and many methods have proposed so far. mtsp is a np-...

Journal: :journal of advances in computer research 0

clustering is the process of dividing a set of input data into a number of subgroups. the members of each subgroup are similar to each other but different from members of other subgroups. the genetic algorithm has enjoyed many applications in clustering data. one of these applications is the clustering of images. the problem with the earlier methods used in clustering images was in selecting in...

Journal: :بحوث فی اللغه العربیه 0
صادق فتحی دهکردی استادیار گروه زبان و ادبیات عربی دانشگاه کردستان صادق فتحی دهکردی هیئت علمی

â  â  love and affection from jibran's point of view â  â  â  sadegh fathi dehkordi * â  â  abstract â  from the view point of jibran khalil jibran, affection is the law of life and the base of all things in the world. affection is one of the manifestations of god and it is a light extracted from other lights. real affection is endless .the human being cannot learn affection because it is ...

2016
E. S. Ali

A new metaheuristic method, the BAT search algorithm based on the echolocation behaviour of bats is proposed in this paper for optimal design of Power System Stabilizers (PSSs) in a multimachine environment. The PSSs parameter tuning problem is converted to an optimization problem which is solved by BAT search Algorithm. An eigenvalues based objective function involving the damping factor, and ...

2013
Ivona BRAJEVIC Milan TUBA

In this work, firefly algorithm (FA) is used in training feed-forward neural networks (FNN) for classification purpose. In experiments, three well-known classification problems have been used to evaluate the performance of the proposed FA. The experimental results obtained by FA were compared with the results reported by artificial bee colony (ABC) algorithm and genetic algorithm (GA). Also, si...

2010
MASAYA YOSHIKAWA HIDEKAZU TERAI

Job shop scheduling problem is one of the most important problems in the combinatorial optimization problems, and it is applied to various fields about engineering. Many works have been reported for this problem using Genetic Algorithm (GA). The GA is one of the most powerful optimization methods based on the mechanics of natural evolution. In this paper, we propose a new genetic coding for the...

2012
Milan TUBA

Artificial bee colony (ABC) is a relatively new swarm intelligence based metaheuristic. It was successfully applied to various, mostly continuous, optimization problems. For all such heuristically guided search algorithms balance between exploitation and exploration is the determining factor for success. It is generally considered that in the ABC algorithm exploitation is performed by employed ...

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