[PDF][PDF] Most valuable player algorithm for solving minimum vertex cover problem

H Khattab, A Sharieh, BA Mahafzah - International Journal of …, 2019 - researchgate.net
Minimum Vertex Cover Problem (MVCP) is a combinatorial optimization problem that is
utilized to formulate multiple real-life applications. Owing to this fact, abundant research has …

TWGH: A Tripartite Whale–Gray Wolf–Harmony Algorithm to Minimize Combinatorial Test Suite Problem

HM Fadhil, MN Abdullah, MI Younis - Electronics, 2022 - mdpi.com
Today's academics have a major hurdle in solving combinatorial problems in the actual
world. It is nevertheless possible to use optimization techniques to find, design, and solve a …

[PDF][PDF] GAMIPOG: A deterministic genetic multi-parameter-order strategy for the generation of variable strength covering arrays

M Younis, MI Younis - J. Eng. Sci. Technol, 2020 - jestec.taylors.edu.my
This paper discusses the construction of a test data generation strategy for variable strength
covering array (VSCA). The complexity of a VSCA strategy affects the scalability to support …

A three-phase approach to improve the functionality of t-way strategy

E Pira, V Rafe, S Esfandyari - Soft Computing, 2024 - Springer
Although t-way strategy tries to generate a minimum test suite (TS) for detecting errors in
software systems, its functionality is affected by three important challenges. The first one …

A tolerance-based memetic algorithm for constrained covering array generation

X Guo, X Song, J Zhou, F Wang - Memetic Computing, 2023 - Springer
The research focus in the field of combinatorial testing has shifted from unconstrained
covering array generation (CAG) to constrained covering array generation (CCAG). Most …

An Effective Approach to High Strength Covering Array Generation in Combinatorial Testing

X Guo, X Song, J Zhou, F Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Combinatorial testing (CT) is an effective testing method that can detect failures caused by
the interaction of parameters of the software under test (SUT). With the increasing complexity …

A hybrid artificial bee colony strategy for t-way test set generation with constraints support

AK Alazzawi, HM Rais, S Basri… - Journal of Physics …, 2020 - iopscience.iop.org
Abstract t-way interaction testing is a systematic approach for exhaustive test set generation.
It is a vital test planning method in software testing, which generates test sets based on …

A memetic algorithm for high‐strength covering array generation

X Guo, X Song, J Zhou, F Wang, K Tang… - IET Software, 2023 - Wiley Online Library
Covering array generation (CAG) is the key research problem in combinatorial testing and is
an NP‐complete problem. With the increasing complexity of software under test and the …

[PDF][PDF] Improvement of Nature-Based Optimization Methods for Solving Job shop Scheduling Problems

H Jebari, S Rekiek, K Reklaoui - International Journal of …, 2023 - researchgate.net
Scheduling is a key decision-making process within the industrial manufacturing sectors.
Effective scheduling is crucial for enhancing the company's key performance indicators and …

Recent t-way Test Generation Strategies Based on Optimization Algorithms: An Orchestrated Survey

AK Alazzawi, HM Rais, S Basri, YA Alsariera… - … Conference on Artificial …, 2022 - Springer
In software testing, test case generation is the most challenging activities and expensive
tasks. Where has a considerable impact on the ability to produce a desired or intended …