Search Results - a genetic algorithm
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Clustering ensemble learning method based on incremental genetic algorithms
Published 2012“…In the first and second phases, a threshold fuzzy c-means clustering algorithm as a clusterer and a pattern ensemble learning method based on the incremental genetic-based algorithms are proposed respectively. …”
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VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS.
Published 2012“…A tool termed as VIGA-20 (Visualization of Genetic Algorithm using 2-0 Graph) is implemented to accomplish this goal. …”
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Comparison between Genetic Algorithm and Prey-Predator Algorithm.
“…The use of metaheuristic algorithms to different problems becomes very common after the introduction of genetic algorithm in 1975. …”
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Monograph -
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Committee neural networks with fuzzy genetic algorithm.
Published 2011“…Premature convergence is a classical problem in finding optimal solution in genetic algorithms. …”
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A Micro-Genetic Algorithm Approach for Soft Constraint Satisfaction Problem in University Course Scheduling
Published 2013“…The Micro Genetic Algorithm proposed has been tested in a test comparison with the Standard Genetic algorithm and the Guided Search Genetic algorithm as a benchmark. …”
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Global optimal analysis of variant genetic operations in solar tracking
Published 2023“…Both software and hardware have been developed to simulate related genetic algorithm results using a combination of variant genetic operators. …”
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A review: accuracy optimization in clustering ensembles using genetic algorithms
Published 2011“…It begins with the introduction of clustering ensembles and clustering ensemble algorithms. Subsequently, this paper describes a number of suggested genetic-guided clustering ensemble algorithms, in particular the genotypes, fitness functions, and genetic operations. …”
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Solving transcendental equation using genetic algorithm / Masitah Hambari
Published 2004“…This project studies the potential of using Genetic Algorithm and develops a program in order to solve Transcendental Equation in optimizing problem domain. …”
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A genetic similarity algorithm for searching the Gene Ontology terms and annotating anonymous protein sequences
Published 2008“…A genetic similarity algorithm is introduced in this study to find a group of semantically similar Gene Ontology terms. …”
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A study of fluctuations in genetic algorithm optimized network in data centre
Published 2017“…Study of fluctuation in genetic algorithm has been a sub-objective in genetic algorithm implementations. …”
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Improved elitist genetic algorithm for reactive power planning in power system / Mohamad Fadhil Mohd Kamal
Published 2010“…The genetic algorithm (GA) is a search technique based on the behaviour of natural genetics. …”
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Solving single machine scheduling problem with maximum lateness using a genetic algorithm
Published 2010“…We develop an optimised crossover operator designed by an undirected bipartite graph within a genetic algorithm for solving a single machine family scheduling problem, where jobs are partitioned into families and setup time is required between these families. …”
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Network reconfiguration and control for loss reduction using genetic algorithm
Published 2010“…The proposed solution to this problem is based on a general combinatorial optimization algorithm known as Genetic Algorithm, and the load flow equations in distribution network. …”
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A practical method for the analysis of genetic algorithms
Published 2011“…The experimental result done on some of the known genetic algorithms show the usefulness of the proposed method in improving the quality of genetic algorithms.…”
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A genetic algorithm approach to VLSI macro cell non-slicing floorplans using binary tree
Published 2008“…Three different types of genetic algorithms: simple genetic algorithm (SGA), steady-state algorithm (SSGA) and adaptive genetic algorithm (AGA) are employed in order to examine their performances in converging to their global minimums. …”
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Impact of genetic operators on energy-efficient wireless sensor network
Published 2019“…The metaheuristic genetic algorithm is an evolutionary algorithm which means that it will always evolve to get an optimum solution. …”
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Proceedings -
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A fuzzy genetic algorithm based on binary encoding for solving multidimensional knapsack problems
Published 2012“…The fundamental problem in genetic algorithms is premature convergence, and it is strongly related to the loss of genetic diversity of the population. …”
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Genetic algorithm application for traffic light control
Published 2023“…We then compare the performance between the genetic algorithm controller and a conventional fixed time controller. � 2009 Springer Berlin Heidelberg.…”
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GOS: a Genetic OverSampling Algorithm for classification of Quranic verses
Published 2022“…In this paper, a new technique called "GOS: a Genetic OverSampling algorithm”, is proposed using a genetic algorithm. …”
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