Results 21 to 30 of about 1,311,332 (340)

Design of Comminution Plants in the Ceramic Industry Using a Simulation-based Optimization Approach

open access: yesIngeniería 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
doaj   +1 more source

Flexible job shop scheduling using genetic algorithm and heuristic rules

open access: yesJournal 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]

open access: yes, 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

Optimal Deep Learning LSTM Model for Electric Load Forecasting using Feature Selection and Genetic Algorithm: Comparison with Machine Learning Approaches †

open access: yesEnergies, 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

Improving Floating Search Feature Selection using Genetic Algorithm

open access: yesJournal 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

Offloading Decision and Resource Allocation Strategy in Mobile Edge Computing [PDF]

open access: yesJisuanji gongcheng, 2021
In order to minimize the total system cost when the computing resources of Mobile Edge Computing(MEC) servers are limited,this paper designs a multi-user offloading decision and resource allocation strategy.The strategy jointly optimizes the selection of
YANG Tian, YANG Jun
doaj   +1 more source

Genetic algorithm feature selection resilient to increasing amounts of data imputation

open access: yesProceedings of the International Florida Artificial Intelligence Research Society Conference
This 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
doaj   +1 more source

Design and Optimization of E-Commerce Logistics Distribution System Based on Multiobjective Function

open access: yesJournal of Control Science and Engineering, 2022
To reduce the complexity and multiple constraints of logistics distribution routing problems, the author proposes an improved genetic algorithm, adaptive immune genetic algorithm (AIGA).
Hui Wen
doaj   +1 more source

Genetic Drift in Genetic Algorithm Selection Schemes

open access: yes, 1999
A method for calculating genetic drift in terms of changing population fitness variance is presented. The method allows for an easy comparison of different selection schemes and exact analytical results are derived for traditional generational selection,
Prügel-Bennett, A., Rogers, A.
core   +2 more sources

Application of a single-objective, hybrid genetic algorithm approach to pharmacokinetic model building. [PDF]

open access: yes, 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   +2 more sources

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