genetic algorithm (GAs)
Comparison and Analysis of Different Mutation Strategies to improve the Performance of Genetic Algorithm
... Based Genetic Algorithm (HMGA): In stationary environments, convergence at a proper pace is really what is expected for GAs to locate the optimum solutions for many optimization ...enables genetic ...
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A Mazer with Genetic Algorithm
... Tremaux algorithm uses recursive backtracking procedure for finding the solution, which can be used to find path from inside the maze to the goal position outside the maze Dead End filling algorithm works ...
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Solving Vehicle Routing Problem with Proposed Non Dominated Sorting Genetic Algorithm and Comparison with Classical Evolutionary Algorithms
... Multi-objective genetic algorithm (MOGA) being a population-based approach, genetic algorithm (GA) are suited to solve multi-objective optimization problems [11, ...
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IOS Based Aquascape Component Selection Application Uses a Genetic Algorithm
... Applications to be created have a purpose to facilitate the people who want to make aquascape in terms of aquascape component selection based on the cost. This application will be created on IOS based mobile devices. In ...
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A Genetic Algorithm for Resource Contrained Project Scheduling Problem
... robust genetic algorithm for resource allocation in project ...competitive genetic algorithm for resource‐constrained project ...self‐adapting genetic algorithm for project ...
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Design of a Wideband Differential Phase Shifter with the Application of Genetic Algorithm
... Abstract—In this paper, a wideband differential phase shifter has been analyzed and designed using Genetic Algorithm (GA). The differential phase shifter consists of two fixed main lines of length λ/2, and ...
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A Genetic Algorithm with Weighted Average Normally Distributed Arithmetic Crossover and Twinkling
... a genetic algorithm shares some resemblance to these two biological opera- tions: crossover and ...asimplegenetic algorithm suffers from slow ...typical genetic algorithms: a slow rate of ...
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Multi-objective optimization of PID controller parameters using genetic algorithm
... Chapter 5 analyzes the GCGA through several popular test problems and compares its performances with the well known Non-dominated Sorting Genetic Algorithm II (NSGA-II). This chapter also shows the ...
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Geometrical Arrangement in the Needle Loop of Multifilament Yarn using Genetic Algorithm
... the Genetic Algorithm analysis which causes the filaments to be bent along the out-plane ...using genetic algorithm. Fitness function of the genetic algorithm is a summation of ...
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Genetic Algorithm and Hybrid Genetic Algorithm for Space Allocation Problems A Review
... Hybrid GA (HGA) is an enhanced version of genetic algorithm. In [16] hybrid GA is proposed with particle swarm optimization (PSO) effect for solving combinatorial optimization. Simple GA (SGA) and hybrid GA ...
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The efficient selection methods of genetic algorithm used in scheduling problems
... hybrid genetic algorithm (HGA) that uses a simple form of local search based on the NEH ...The algorithm is tested on 8-jobs and 7-machines ...
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Artificial Intelligence Fraud Detection Using Genetic Algorithm
... detection genetic algorithm have generally following process like generation of initial process for sample input data and generate random ...that genetic algorithm perform 3 operations like ...
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Estimation of a simple genetic algorithm applied to a laboratory experiment
... The first important result of our computational exercise is to demonstrate that it is possible to estimate the parameters of a GA using experimental data. As it turns out, the estimation of the key-parameters of GA ...
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The Use of a Genetic Algorithm for Simultaneous Mapping of Multiple Interacting Quantitative Trait Loci
... the genetic algorithm-based search was 100% indicated by the ...The genetic algorithm-based search for all epistatic models but the duplicate, where it was can then be used repetitively for ...
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Performance comparison of several kinds of improved genetic algorithm
... High-level genetic algorithm is similar to the standard genetic algorithm in ...lower genetic algorithm after the algorithm runs to a certain ...low-level genetic ...
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Genetic algorithm for the cargo shunting cooperation between two hub-and-spoke logistics networks
... Multilayer genetic algorithm, chromosomes are divided into two segments, each of which carries the information of a hub-and-spoke ...existing algorithm theory is applied, and on the other hand, some ...
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A Data Placement Strategy Based on Genetic Algorithm in Cloud Computing
... This paper presents a genetic algorithm-based data placement strategy. First, a mathematical model of data scheduling between the data centers in cloud computing is built, and the fitness function based on ...
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The Hybrid Genetic Algorithm for Solving Scheduling Problems in a Flexible Production System
... the genetic algorithm randomly generates a set of initial ...the genetic algorithm sends each solution to the simulated annealing to be ...the genetic algorithm solutions for the ...
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Design of Group Technology and Improvement by using Genetic Algorithm
... the algorithm on a set of group technology (GT) problems available in the research is also ...(genetic algorithm (GA)) in plastic bags factory in Hilla-Iraq, to the families of the design of products ...
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A Genetic Fuzzy Model for Investigating Security and Trust in E Commerce with Genetic Algorithm
... function. Genetic algorithm is a useful tool in pattern recognition, attribute selection, image comprehension and machine ...In Genetic algorithms, the genetic evolution of living things is ...
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