Results 11 to 20 of about 586,435 (341)
Intelligent Feature Selection Methods: A Survey [PDF]
Engineering and Technology Journal, 2021 Consider feature selection is the main in intelligent algorithms and machine learning to select the subset of data to help acquire the optimal solution.
Noor Jameel, Hasanen S. Abdullah
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Foundations of Computing and Decision Sciences, 2022 The growing need for profit maximization and cost minimization has made the optimization field very attractive to both researchers and practitioners.
Laabadi Soukaina +3 more
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Gene expression programming approach to event selection in high energy physics [PDF]
, 2006 Gene Expression Programming is a new evolutionary algorithm that overcomes many limitations of the more established Genetic Algorithms and Genetic Programming. Its first application to high energy physics data analysis is presented.
Teodorescu, L
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Multi-objective genetic optimisation for self-organising fuzzy logic control [PDF]
, 1998 This is the post-print version of the article. The official published version can be accessed from the link below.A multi-objective genetic algorithm is developed for the purpose of optimizing the rule-base of a Self-Organising Fuzzy Logic Control ...
Abbod, MF, Linkens, DA, Mahfouf, M
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Hybrid Multi-population Genetic Algorithm for Multi Criteria Project Selection [PDF]
Journal of Mahani Mathematical Research, 2022 Resources scarcity, available capabilities and cost-benefit point of view, make it essential to select the best project(s) from available project portfolio. Project selection process has a significant role in the success.
Mohammad Mirabi, Hossein Ghaneai
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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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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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Feature selection for high dimensional data: An evolutionary filter approach. [PDF]
, 2011 Problem statement: Feature selection is a task of crucial importance for the application of machine learning in various domains. In addition, the recent increase of data dimensionality poses a severe challenge to many existing feature selection ...
Balola, Adlan +3 more
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