Results 61 to 70 of about 788,042 (240)
Results of Evolution Supervised by Genetic Algorithms
, 2010 A series of results of evolution supervised by genetic algorithms with interest to agricultural and horticultural fields are reviewed. New obtained original results from the use of genetic algorithms on structure-activity relationships are reported ...
Lorentz JÄNTSCHI +4 more
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Heuristic algorithms in topological design of telecommunication networks
Journal of Telecommunications and Information Technology, 2003 The paper addresses the generic topological network design problem and considers the use of various heuristic algorithms for solving the problem. The target of the optimisation is to determine a network structure and demand allocation pattern that would
Piotr Karaś
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Fuzzy Adaptive Genetic Algorithm for Improving the Solution of Industrial Optimization Problems
Journal of Intelligent Systems, 2018 In the industrial and manufacturing fields, many problems require tuning of the parameters of complex models by means of exploitation of empirical data.
Vannucci Marco +3 more
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Design of Novel Metaheuristic Techniques for Clustering
IEEE Access, 2018 One of the major drawbacks of clustering techniques utilizing a predetermined number of clusters is that it does not guarantee convergence to the global optimum.
Dina A. Moussa +3 more
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Using Genetic Algorithms for Building Metrics of Collaborative Systems [PDF]
he paper objective is to reveal the importance of genetic algorithms in building robust metrics of collaborative systems. The main types of collaborative systems in economy are presented and some characteristics of genetic algorithms are described.
Cristian CIUREA
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IEEE Access, 2018 Preventive maintenance is significant for health management of production system, while the maintenance plan is seldom simultaneously considered in the decision-making process of production scheduling. This paper studies a practical production scheduling
Jianyu Long +4 more
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Mining Frequent Itemsets Using Genetic Algorithm
, 2010 In general frequent itemsets are generated from large data sets by applying association rule mining algorithms like Apriori, Partition, Pincer-Search, Incremental, Border algorithm etc., which take too much computer time to compute all the frequent ...
Biswas, Sushanta +3 more
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Operator Kawin Silang pada Algoritma Genetik Riil untuk Variabel Rencana Selalu Positif
Media Komunikasi Teknik Sipil, 2016 Genetic algorithms have been used to solve various optimization problems. One of the advantages of genetic algorithms is that they have the ability to solve complex optimization problems in a simple way.
Yoyong Arfiadi
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Genetic Algorithm Based Feature Selection Technique for Electroencephalography Data
Applied Computer Systems, 2019 High dimensionality is a well-known problem that has a huge number of highlights in the data, yet none is helpful for a particular data mining task undertaking, for example, classification and grouping. Therefore, selection of features is used frequently
Ali Tariq +2 more
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Applied SciencesGenetic Algorithms (GAs) are pillars of evolutionary computing and one of the most well-known population-based metaheuristic optimisation techniques. They are widely used in engineering and applied optimisation problems for their capabilities in finding ...
Cagatay Cebeci, Oğuzhan Timur
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