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genetic-based optimal method

Neural Network and Genetic Algorithm Based Finite Element Model for Optimal Die Shape Design in Al 1100 Cold Forward Extrusion

Neural Network and Genetic Algorithm Based Finite Element Model for Optimal Die Shape Design in Al 1100 Cold Forward Extrusion

... The genetic algorithm is a method for solving both constrained and unconstrained optimization problems that is based on natural selection, the process that drives biological ...The genetic ...

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Genetic-Moth Swarm Algorithm for Optimal Placement and Capacity of Renewable DG Sources in Distribution Systems

Genetic-Moth Swarm Algorithm for Optimal Placement and Capacity of Renewable DG Sources in Distribution Systems

... developed based on the incorporation of GA operations with adaptive mutation operator on the reconnaissance phase using genetic pathfinder moths and the expanding of artificial light sources over the ...the ...

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Predicting Optimal Trading Actions Using a Genetic Algorithm and Ensemble Method

Predicting Optimal Trading Actions Using a Genetic Algorithm and Ensemble Method

... In this section, we apply the proposed ensemble approach to USD/JPY currency pairs to test whether the combined agent outperforms the average performance of many agents. Here, the return is JPY-based. The training ...

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Optimal Design of the Electrothermal V-Beam Microactuator Based on GA for Stress Concentration Analysis

Optimal Design of the Electrothermal V-Beam Microactuator Based on GA for Stress Concentration Analysis

... This paper discusses the effects of geometry and fillet radius of bend beam of electrothermal actuator in stress concentration. The geometric parameters are width of the beam (b) and thickness of the beam (h), ...

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A comparative study based on the Genetic Algorithm (GA) method for the optimal sizing of the standalone photovoltaic system in the Ngoundiane site

A comparative study based on the Genetic Algorithm (GA) method for the optimal sizing of the standalone photovoltaic system in the Ngoundiane site

... optimization based on the Genetic Algorithm (GA) of a standalone photovoltaic system in the Ngoundiane site is investigated in this ...using Genetic Algorithm ...developed Genetic Algorithm is ...

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A genetic algorithm based approach to optimal toll level and location problems

A genetic algorithm based approach to optimal toll level and location problems

... Of the remaining 13 links 8 can be solved by the proposed method. An example of a well-behaved solution is shown for link 4-5 in figure 2. The “dots” represent the iterations required to locate the optimum charge ...

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MODIFIED GENETIC ALGORITHM TO DETERMINE THE LOCATION OF THE DISTRIBUTION POWER SUPPLY NETWORKS IN THE CITY

MODIFIED GENETIC ALGORITHM TO DETERMINE THE LOCATION OF THE DISTRIBUTION POWER SUPPLY NETWORKS IN THE CITY

... the method of optimal placement of DS for small-dimensional problems taking into account voltage losses from central substation (CP) to remote ...developed method is based on the behavior of ...

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Wireless sensor network node optimal coverage based on improved genetic algorithm and binary ant colony algorithm

Wireless sensor network node optimal coverage based on improved genetic algorithm and binary ant colony algorithm

... of genetic algorithm and ant colony algorithm possess, a WSN node optimal coverage method based on improved genetic algorithm and binary ant colony algorithm is pro- posed in this ...

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Optimal Power Flow of the Multi-type FACTS Controllers using Genetic Algorithm

Optimal Power Flow of the Multi-type FACTS Controllers using Genetic Algorithm

... a genetic algorithm based approach is proposed to determine the suitable type of FACTS controllers, its optimal location and rating of the devices in power systems and also to simultaneously ...

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Optimal Allocation of TV White Spaces to White Space Devices using Genetic Algorithm and Fuzzy Rule based Technique

Optimal Allocation of TV White Spaces to White Space Devices using Genetic Algorithm and Fuzzy Rule based Technique

... radio based on autonomy evolutionary ...and based on graph theory model of spectrum allocation, they proposed a spectrum allocation algorithm based on autonomously evolutionary ...proposed ...

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Hybridized genetic-immune based strategy to obtain optimal feasible assembly sequences   Pages 333-346
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Hybridized genetic-immune based strategy to obtain optimal feasible assembly sequences Pages 333-346 Download PDF

... an optimal assembly sequence subjected to the assembly ...the Genetic Algorithm (GA) to find out an optimal feasible assembly sequence from the possible assembly ...an optimal assembly ...The ...

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An efficient method based on ABC for optimal multilevel thresholding

An efficient method based on ABC for optimal multilevel thresholding

... Artificial Bee Colony (ABC) algorithm was developed by Karaboga for numerical optimization [ 21]. The inspiration behind this algorithm is the foraging behavior of honey bee swarms in finding foods. Some popular and ...

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An Optimal Selection of Induction Heating Capacitance by Genetic Algorithm Considering Dissipation Loss Caused by ESR (TECHNICAL NOTE)

An Optimal Selection of Induction Heating Capacitance by Genetic Algorithm Considering Dissipation Loss Caused by ESR (TECHNICAL NOTE)

... recognized. Optimal value of resonance capacitor is achieved by using genetic algorithm method under voltage constraint for maximizing the output power of an induction heater, while minimizing the ...

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Optimal domain decomposition using the global sensitivity analysis-based metaheuristic algorithm

Optimal domain decomposition using the global sensitivity analysis-based metaheuristic algorithm

... median method [7]. In this method, a graph is associ- ated with the topological property of the nite-element ...the optimal medians in the graph are selected, such that the sum of the distances of ...

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Optimization of Unit Commitment Problem and Constrained Emission using Genetic Algorithm

Optimization of Unit Commitment Problem and Constrained Emission using Genetic Algorithm

... to Optimal Unit commitment (UC) of thermal units based on a evolutionary algorithm known as Genetic algorithm ...proposed method of GA for the UC problem, the scheduling variables are coded as ...

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Concealing Information in Images using Progressive Recovery

Concealing Information in Images using Progressive Recovery

... The existing system makes a connection between steganography design by minimizing embedding distortion and statistical physics. The unique aspect of this work and one that distinguishes it from prior art is that we allow ...

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Volume 2, Issue 7, July 2013 Page 257

Volume 2, Issue 7, July 2013 Page 257

... GAs have found to be useful in many data mining tasks in general and in feature selection in particular [27,31,48]. Empirical comparisons between GAs and other kinds of feature selection methods can be found in [45] as ...

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ON AN ESTIMATE FOR THE MODULUS OF CONTINUITY OF A NONLINEAR INVERSE PROBLEM

ON AN ESTIMATE FOR THE MODULUS OF CONTINUITY OF A NONLINEAR INVERSE PROBLEM

... The article examines the reverse time problem for a semilinear parabolic equation. V. K. Ivanov, V. N. Strakhov, and their disciples and followers developed the theory and worked out the tech- nique to obtain error ...

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A Comparative Study of Tuning of PID Controller using Evolutionary Algorithms

A Comparative Study of Tuning of PID Controller using Evolutionary Algorithms

... the optimal values of proportional- integral-derivative (PID) controller parameters for an unstable ...using Genetic Algorithm and Particle Swarm Optimization ...conventional method like Ziegler ...

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Optimization of the aerodynamic configuration of a tubular projectile based on blind Kriging

Optimization of the aerodynamic configuration of a tubular projectile based on blind Kriging

... an optimal design of the tubular projectile to maximize the kinetic energy at a given ight ...model, based on the blind kriging surrogate models established for the drag coecients at Ma = ...

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