Results 31 to 40 of about 1,388,322 (334)
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
semanticscholar +1 more source
Genetic Algorithm Based on Natural Selection Theory for Optimization Problems
Symmetry, 2020 The metaheuristic genetic algorithm (GA) is based on the natural selection process that falls under the umbrella category of evolutionary algorithms (EA).
Musatafa Abbas Abbood Albadr +3 more
semanticscholar +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
core +1 more source
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
doaj +1 more source
Subcontractor Selection using Genetic Algorithm
Procedia Engineering, 2015 AbstractIn the construction industry, subcontracting is a very common practice. Nowadays, most of the general contractors tend to sublet the large portions of construction works to subcontractors and they only act as construction management agencies. In other words, while subcontractors carry out the actual production work, general contractors organize
Polat, Gul +2 more
openaire +1 more source
Application of a single-objective, hybrid genetic algorithm approach to pharmacokinetic model building. [PDF]
, 2012 A limitation in traditional stepwise population pharmacokinetic model building is the difficulty in handling interactions between model components. To address this issue, a method was previously introduced which couples NONMEM parameter estimation and ...
Belani, Chandra P +12 more
core +3 more sources
Genetic algorithm feature selection resilient to increasing amounts of data imputation
Proceedings of the International Florida Artificial Intelligence Research Society ConferenceThis paper investigates the robustness of a genetic algorithm (GA) in feature selection across a dataset with increasing imputed missing values. Feature selection can be beneficial in predictive modeling to reduce computational costs and potentially ...
Maryam Kebari, Annie S Wu
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Genetic learning particle swarm optimization [PDF]
, 2016 Social learning in particle swarm optimization (PSO) helps collective efficiency, whereas individual reproduction in genetic algorithm (GA) facilitates global effectiveness.
Chung, Henry Shu-Hung +6 more
core +2 more sources