Results 11 to 20 of about 242,339 (312)
Feature Subset Selection Using A Genetic Algorithm
IEEE Intelligent Systems, 1998 Practical pattern classification and knowledge discovery problems require selection of a subset of attributes or features (from a much larger set) to represent the patterns to be classified.
Vasant Honavar +3 more
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Hybrid genetic algorithms for feature selection [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004 This paper proposes a novel hybrid genetic algorithm for feature selection. Local search operations are devised and embedded in hybrid GAs to fine-tune the search. The operations are parameterized in terms of their fine-tuning power, and their effectiveness and timing requirements are analyzed and compared.
Il-Seok Oh, Jin-Seon Lee, Byung Ro Moon
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Anisotropic selection in cellular genetic algorithms [PDF]
Proceedings of the 8th annual conference on Genetic and evolutionary computation, 2006 In this paper we introduce a new selection scheme in cellular genetic algorithms (cGAs). Anisotropic Selection (AS) promotes diversity and allows accurate control of the selective pressure. First we compare this new scheme with the classical rectangular grid shapes solution according to the selective pressure: we can obtain the same takeover time with ...
Simoncini, David +3 more
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Hybrid genetic algorithm for dual selection [PDF]
Pattern Analysis and Applications, 2007 Ce travail présente un algorithme génétique hybride pour résoudre le problème suivant : sélectionner dans une base d'exemples le sous ensemble qui présente la meilleure performance en classification avec le plus petit nombre d'attributs pour le plus grand nombre d'exemples.
Ros, F. +3 more
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A Comparative Analysis of Hybridized Genetic Algorithm in Predictive Models of Breast Cancer Tumors
IEEE Access, 2023 Advancement in computer-aided tools towards accurate breast cancer early prediction models has proven to be advantageous, which in turn helps to reduce the mortality rate associated with this cancer.
Joyce A. Ayoola, Tokunbo Ogunfunmi
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Flexible job shop scheduling using genetic algorithm and heuristic rules
Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2016 Job shop scheduling with the availability of more than one machine to perform an operation, also known as the flexible job shop scheduling problem, is computationally NP-hard.
Parinya KAWEEGITBUNDIT, Toru EGUCHI
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Design of Comminution Plants in the Ceramic Industry Using a Simulation-based Optimization Approach
Ingeniería e Investigación, 2021 In many cases, the design process of a structural ceramic comminution plant typically consists of an ‘expert designer’ who makes decisions using intuitive criteria to select commercial equipment.
Ignacio Ortiz de Landazuri Suárez +1 more
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Streaming multi-layer ensemble selection using dynamic genetic algorithm.
, 2021 In this study, we introduce a novel framework for non-stationary data stream classification problems by modifying the Genetic Algorithm to search for the optimal configuration of a streaming multi-layer ensemble.
Anh Vu Luong +7 more
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Improving Floating Search Feature Selection using Genetic Algorithm
Journal of ICT Research and Applications, 2017 Classification, a process for predicting the class of a given input data, is one of the most fundamental tasks in data mining. Classification performance is negatively affected by noisy data and therefore selecting features relevant to the problem is a ...
Kanyanut Homsapaya, Ohm Sornil
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Multi-user indoor optical wireless communication system channel control using a genetic algorithm [PDF]
, 2011 A genetic algorithm controlled multispot transmitter is demonstrated that is capable of optimising the received power distribution for randomly aligned single element receivers in multiple fully diffuse optical wireless communications systems with ...
M.S. Leeson +7 more
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