نتایج جستجو برای: genetic algorithm ga

تعداد نتایج: 1327948  

In this paper, optimal placement of Phasor Measurement Unit (PMU) using Global Positioning System (GPS) is discussed. Ant Colony Optimization (ACO), Simulated Annealing (SA), Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) are used for this problem. Pheromone evaporation coefficient and the probability of moving from state x to state y by ant are introduced into the ACO. The modifi...

Due to the variety of products, simultaneous production of different models has an important role in production systems. Moreover, considering the realistic constraints in designing production lines attracted a lot of attentions in recent researches. Since the assembly line balancing problem is NP-hard, efficient methods are needed to solve this kind of problems. In this study, a new hybrid met...

Journal: :مهندسی عمران فردوسی 0
مهدی اژدری مقدم احسان جعفری ندوشن

labyrinth spillway is an appropriate option to pass pmf discharge. the most advantages of this type of spillway are higher discharge capacity, easy aeration as well as low fluctuations of flow surface. it is essential to find the optimum geometry considering the maximum passing discharge under specific hydraulic conditions with minimum construction cost. in this study, fuzzy inference system (f...

Abstract: Urban canyon is categorized as hard environment for positioning of a dynamic vehicle due to low number and also bad configuration of in-view satellites. In this paper, a tuning procedure is proposed to adjust the important factors in Kalman Filter (KF) using Genetic Algorithm (GA). The authors tested the algorithm on a dynamic vehicle in an urban canyon with hard condition and compare...

Journal: :journal of electrical and computer engineering innovations 2016
mostafa ahmadi darmani hooman hooshyar

axial flux permanent magnet (afpm) machines are attractive candidates for electric vehicles (evs) applications due to their axial compact structure, high efficiency, high power and torque density. this paper presents general design characteristics of afpm machines. moreover, torque density of the machine which is selected as main objective function, is enhanced by using genetic algorithm (ga) a...

Journal: :journal of ai and data mining 2014
vahid majidnezhad

in this paper, first, an initial feature vector for vocal fold pathology diagnosis is proposed. then, for optimizing the initial feature vector, a genetic algorithm is proposed. some experiments are carried out for evaluating and comparing the classification accuracies which are obtained by the use of the different classifiers (ensemble of decision tree, discriminant analysis and k-nearest neig...

In this paper, Integrated Resource Planning (IRP) problem is formulated as an optimization problem in which the objective function is to minimize the total investment, operating, and outage (energy not served) costs of power system as well as the cost of DSM programs. Generation system reliability is assessed and provided by means of EENS and LOLP indices. For this sake, energy not served cost ...

Parinaz Pourrahimian

Automated Guided Vehicle System (AGVS) provides the flexibility and automation demanded by Flexible Manufacturing System (FMS). However, with the growing concern on responsible management of resource use, it is crucial to manage these vehicles in an efficient way in order reduces travel time and controls conflicts and congestions. This paper presents the development process of a new Memetic Alg...

2013
Smita Jhajharia Swati Mishra Siddharth Bali

This paper proposes an algorithm for Public Key Cryptography (PKC) using the hybrid concept of two evolutionary algorithms, Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) respectively. PSO alone are fast and easy to implement, they follow the procedures of common evolutionary algorithm and posses memory feature which is absent in GA making it more valuable. In GA whole population ...

Kazem Abhary Romeo Marian Son Duy Dao

Integration of production planning and scheduling is a class of problems commonly found in manufacturing industry. This class of problems associated with precedence constraint has been previously modeled and optimized by the authors, in which, it requires a multidimensional optimization at the same time: what to make, how many to make, where to make and the order to make. It is a combinatorial,...

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