Results 21 to 30 of about 1,398,187 (332)
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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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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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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Energies, 2018 Background: With the development of smart grids, accurate electric load forecasting has become increasingly important as it can help power companies in better load scheduling and reduce excessive electricity production.
S. Bouktif +3 more
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Full model selection in the space of data mining operators [PDF]
, 2012 We propose a framework and a novel algorithm for the full model selection (FMS) problem. The proposed algorithm, combining both genetic algorithms (GA) and particle swarm optimization (PSO), is named GPS (which stands for GAPSO-FMS), in which a GA is ...
Mayo, Michael +2 more
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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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Predicting expected TCP throughput using genetic algorithm [PDF]
, 2016 Predicting the expected throughput of TCP is important for several aspects such as e.g. determining handover criteria for future multihomed mobile nodes or determining the expected throughput of a given MPTCP subflow for load-balancing reasons.
Hernandez Benet, Cristian +2 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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