Genetic algorithms: Theory, genetic operators, solutions, and applications

B Alhijawi, A Awajan - Evolutionary Intelligence, 2024 - Springer
A genetic algorithm (GA) is an evolutionary algorithm inspired by the natural selection and
biological processes of reproduction of the fittest individual. GA is one of the most popular …

Performance analyses over population seeding techniques of the permutation-coded genetic algorithm: An empirical study based on traveling salesman problems

PV Paul, N Moganarangan, SS Kumar, R Raju… - Applied soft …, 2015 - Elsevier
The genetic algorithm (GA) is a population based meta-heuristic global optimization
technique for dealing with complex problems with very large search space. The population …

Some seeds are strong: Seeding strategies for search-based test case selection

A Arrieta, P Valle, JA Agirre, G Sagardui - ACM Transactions on Software …, 2023 - dl.acm.org
The time it takes software systems to be tested is usually long. Search-based test selection
has been a widely investigated technique to optimize the testing process. In this article, we …

Comprehensive evaluation of Dendrobium officinale from different geographical origins using near-infrared spectroscopy and chemometrics

Y Yang, X She, X Cao, L Yang, J Huang… - … Acta Part A: Molecular …, 2022 - Elsevier
Dendrobium officinale, often used as a kind of tea for daily drinks, has drawn increasing
attention for its beneficial effects. Quality evaluation of D. officinale is of great significance to …

Crop prediction using predictive analytics

PS Vijayabaskar, R Sreemathi… - … on computation of …, 2017 - ieeexplore.ieee.org
This work is to construct a model for testing the soil fertility. It also suggests the crop which
has to be planted depending upon the value obtained from the sensor. It also provides the …

A novel ODV crossover operator-based genetic algorithms for traveling salesman problem

P Victer Paul, C Ganeshkumar, P Dhavachelvan… - Soft Computing, 2020 - Springer
The genetic algorithm is a popular meta-heuristic optimization technique whose
performance depends on the quality of the initial population and the crossover operator …

Mathematical modeling and hybridized evolutionary LP local search method for lot-sizing with supplier selection, inventory shortage, and quantity discounts

AV Soto, NT Chowdhury, MZ Allahyari, A Azab… - Computers & Industrial …, 2017 - Elsevier
This paper addresses the multi-period inventory lot-sizing problem with supplier selection
and inventory shortage, and it considers both all-units and incremental quantity discounts. A …

Cooperative Distributed UDDI (dUDDI) Architecture for P2P Service Networks

PV Paul, A Shankar, L Jayakumar, S Khapre - Wireless Personal …, 2023 - Springer
A web service is a software interface that describes a collection of operations that can be
accessed over the Internet using standard protocols. Though web services have significant …

Performance evaluation of population seeding techniques of permutation-coded GA traveling salesman problems based assessment: performance evaluation of …

V Paul, C Ganeshkumar, L Jayakumar - Research Anthology on …, 2021 - igi-global.com
Genetic algorithms (GAs) are a population-based meta-heuristic global optimization
technique for dealing with complex problems with a very large search space. The population …

Predicting earnings management through machine learning ensemble classifiers

A Hammami, M Hendijani Zadeh - Journal of Forecasting, 2022 - Wiley Online Library
In this paper, we utilize six novel ensemble classifiers to predict earnings management (EM)
in both its forms, accrual‐based earnings management (AEM) and real earnings …