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A hybrid GA-ant colony approach for exploring the relationship between IT and firm performance
Azadeh, Mohammad Ali; Keramati, Abbas; Panahi, Hadi - In: International journal of business information systems : … 4 (2009) 5, pp. 542-563
Persistent link: https://www.econbiz.de/10003879574
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A hybrid stochastic genetic-GRASP algorithm for clustering analysis
Marinakis, Yannis; Marinaki, Magdalene; Doumpos, Michael; … - In: Operational research : an international journal ; the … 8 (2008) 1, pp. 33-46
Persistent link: https://www.econbiz.de/10003730116
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Data clustering : review and investigation of parallel genetic algorithms for revealing clusters
Dehuri, Satchidananda; Mishra, Bhabani Shankar Prasad; … - In: International journal of applied management science 6 (2014) 3, pp. 212-243
Persistent link: https://www.econbiz.de/10011284563
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Strong typing, variable reduction and bloat control for solving the bankruptcy prediction problem using genetic programming
Alfaro-Cid, Eva; Cuesta-Cañada, Alberto; Sharman, Ken; … - In: Natural computing in computational finance ; [the …, (pp. 161-185). 2008
Persistent link: https://www.econbiz.de/10009515170
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Evolution of the population of a genetic algorithm using particle swarm optimization: application to clustering analysis
Marinakis, Yannis; Marinaki, Magdalene; Matsatsinis, … - In: Operational research : an international journal ; the … 9 (2009) 1, pp. 105-120
Persistent link: https://www.econbiz.de/10003826807
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Hybrid adaptive predictive control for the multi-vehicle dynamic pick-up and delivery problem based on genetic algorithms and fuzzy clustering
Sáez, Doris; Cortés, Cristian E.; Núñez, Alfredo - In: Computers & operations research : and their … 35 (2008) 11, pp. 3412-3438
Persistent link: https://www.econbiz.de/10003722265
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Application of a genetic algorithm to variable selection in fuzzy clustering
Röver, Christian (contributor); Szepannek, Gero (contributor) - 2004
In order to group the observations of a data set into a given number of clusters, an ‘optimal’ subset out of a greater number of explanatory variables is to be selected. The problem is approached by maximizing a quality measure under certain restrictions that are supposed to keep the subset...
Persistent link: https://www.econbiz.de/10002570068
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Data mining optimization model for financial management information system based on improved genetic algorithm
Li, Wei; Zhou, Qiling; Ren, Junying; Spector, Samantha - In: Information systems and e-business management : ISeB 18 (2020) 4, pp. 747-765
Persistent link: https://www.econbiz.de/10012416489
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Evolutionary and classification methods for local labor markets delineation
Alonso, M. Pilar; Beamonte, M. Asunción; Gargallo, Pilar; … - In: Computational and mathematical organization theory 22 (2016) 4, pp. 444-466
Persistent link: https://www.econbiz.de/10011607768