Results 11 to 20 of about 228,099 (265)
Hybrid genetic algorithm for dual selection [PDF]
Ce travail présente un algorithme génétique hybride pour résoudre le problème suivant : sélectionner dans une base d'exemples le sous ensemble qui présente la meilleure performance en classification avec le plus petit nombre d'attributs pour le plus grand nombre d'exemples.
Ros, F. +3 more
openaire +3 more sources
A Comparative Analysis of Hybridized Genetic Algorithm in Predictive Models of Breast Cancer Tumors
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
Anisotropic selection in cellular genetic algorithms [PDF]
In this paper we introduce a new selection scheme in cellular genetic algorithms (cGAs). Anisotropic Selection (AS) promotes diversity and allows accurate control of the selective pressure. First we compare this new scheme with the classical rectangular grid shapes solution according to the selective pressure: we can obtain the same takeover time with ...
Simoncini, David +3 more
openaire +3 more sources
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
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
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
Model for virtual corporations partner selection based on adaptive genetic algorithm
To enhance the efficiency of corporation partner selection and optimization process in virtual corporations, an partner selection process and optimizations model for virtual corporations based on adaptive genetic algorithm were pre-sented.
LI Jian1 +3 more
doaj +2 more sources
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
This work, introduces different powerful chemometric methods for determination of cefoxitin-sodium in presence of its alkali-induced degradation product without prior separation steps, dubbed; Principal component regression, Partial least squares with ...
Khalid Abdel-Salam M. Attia +3 more
doaj +1 more source

