Search Results - different genetic algorithm
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1
Impact of genetic operators on energy-efficient wireless sensor network
Published 2019“…The simulation results show the effect of proposed genetic algorithm with different combinations of operators.…”
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Proceedings -
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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 -
3
VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS.
Published 2012“…The comparison of results is based on the different user's perceptions, their involvement in the VIGA-20 and the difference of the fitness convergence as compared to Simple Genetic Algorithm.…”
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Thesis -
4
Network reconfiguration and control for loss reduction using genetic algorithm
Published 2010“…Tests have shown that the differences are demonstrated only in execution time to arrive the best fitness function of the Genetic Algorithm. …”
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Thesis -
5
GENETIC ALGORITHM OPTIMIZED PACKET FILTERING
Published 2013“…Our method has been tested in different sizes of network traffic load. Genetic Algorithm evolves configuration based on the recorded throughput rates; the higher the throughput the better the solution. …”
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6
Optimum grouping in a modified genetic algorithm for discrete-time, non-linear system identification
Published 2007“…The flexibility of a genetic algorithm allows various strategies to be applied to it. …”
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Article -
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Optimum grouping in a modified genetic algorithm for discrete-time, non-linear system identification
Published 2007“…The flexibility of a genetic algorithm allows various strategies to be applied to it. …”
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Article -
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Global optimal analysis of variant genetic operations in solar tracking
Published 2023“…Lots of research has been carried out in solar tracking system using different types of Evolutionary Algorithm. In this research, genetic algorithm is explored to maximize the performance of solar tracking system. …”
Article -
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Clustering ensemble learning method based on incremental genetic algorithms
Published 2012“…So far, limited genetic-based clustering ensemble algorithms have been developed. …”
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10
A comparative study for parameter selection in online auctions
Published 2009“…In this work, three different models of genetic algorithms are considered. …”
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Different mutation and crossover set of genetic programming in an automated machine learning
Published 2020“…One of the progressing works for automated machine learning improvement is the inclusion of evolutionary algorithm such as Genetic Programming. The function of Genetic Programming is to optimize the best combination of solutions from the possible pipelines of machine learning modelling, including selection of algorithms and parameters optimization of the selected algorithm. …”
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Article -
12
Different mutation and crossover set of genetic programming in an automated machine learning
Published 2020“…One of the progressing works for automated machine learning improvement is the inclusion of evolutionary algorithm such as Genetic Programming. The function of Genetic Programming is to optimize the best combination of solutions from the possible pipelines of machine learning modelling, including selection of algorithms and parameters optimization of the selected algorithm. …”
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Optimization Of Two-Dimensional Dual Beam Scanning System Using Genetic Algorithms
Published 2008“…Comparison results of different combinatorial operators, and tests with different probability factors are shown. …”
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A review: accuracy optimization in clustering ensembles using genetic algorithms
Published 2011“…This paper presents a survey of genetic algorithms designed for clustering ensembles. …”
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Article -
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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. In this paper, we propose a new technique for choosing the female chromosome during sexual selection to avoid the premature convergence in a genetic algorithm. …”
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Article -
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Flexible job shop scheduling using priority heuristics and genetic algorithm
Published 2010“…Then, the validation of proposed genetic algorithm with reinforced initial population (GA2) has been checked with random keys genetic algorithm (RKGA). …”
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17
Optimum grouping in a modified genetic algorithm for discrete-time, non-linear system identification
Published 2007“…The flexibility of a genetic algorithm allows various strategies to be applied to it. …”
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Article -
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Integrating genetic algorithms and fuzzy c-means for anomaly detection
Published 2005“…Fuzzy c-Means allow objects to belong to several clusters simultaneously, with different degrees of membership. Genetic Algorithms (GA) to the problem of selection of optimized feature subsets to reduce the error caused by using land-selected features. …”
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Conference or Workshop Item -
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Development of Genetic Algorithm Procedure for Sequencing Problem in Mixed-Model Assembly Lines
Published 2009“…It confirms that the proposed genetic algorithm procedure is able to tackle the problem complexity and reach to optimal solutions in different production strategies. …”
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Thesis -
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