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

