A systematic review of hyper-heuristics on combinatorial optimization problems

M Sánchez, JM Cruz-Duarte… - IEEE …, 2020 - ieeexplore.ieee.org
Hyper-heuristics aim at interchanging different solvers while solving a problem. The idea is
to determine the best approach for solving a problem at its current state. This way, every time …

Combinatorial test suites generation strategy utilizing the whale optimization algorithm

AA Hassan, S Abdullah, KZ Zamli, R Razali - IEEE Access, 2020 - ieeexplore.ieee.org
The potentially many software system input combinations make exhaustive testing
practically impossible. To address this issue, combinatorial t-way testing (where t indicates …

Combinatorial t-way test suite generation using an improved asexual reproduction optimization algorithm

E Pira, M Khodizadeh-Nahari - Applied Soft Computing, 2024 - Elsevier
To ensure the correctness and quality of a software system, it is desirable to test all possible
combinations of the input parameters under various configurations. But the exhaustive …

Dynamic weighted heuristic trust path search algorithm

R Kong, X Tong - IEEE Access, 2020 - ieeexplore.ieee.org
Trust propagation is being increasingly adopted to assist recommendation systems in
providing more reliable information, upon which, users can make more accurate decisions …

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 …

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 …

[PDF][PDF] Minimum covering array generation using success-history and linear population size reduction based adaptive differential evolution algorithm

E Pira, V Rafe, S Esfandyari - TABRIZ JOURNAL OF ELECTRICAL …, 2022 - tjee.tabrizu.ac.ir
3-Conclusion Combinatorial t-way testing is a technique that generates an array of test
cases to manage combinatorial explosion problem. In this paper, we have used the success …

Development and Analysis of a Novel Hybrid HBFA Using Firefly and Black Hole Algorithm

J Kaur, A Pal - Congress on Intelligent Systems, 2022 - Springer
The current research trend is to combine two or more alternatives to improve the quality of
solutions to practical and contemporary global optimization challenges. Here, in the …

[PDF][PDF] Evolutionary Optimization of Geometrical Image Contour Detection.

SK Abdulateef - International Journal of Intelligent Engineering & …, 2022 - researchgate.net
The image vectorization based on geometrical contour representation is an active research
topic. It involves approximating the contour of the objects inside the image using geometrical …

Optimization of loneys solenoid design using a dynamic search based technique

S Tu, OU Rehman, SU Rehman… - The Applied …, 2021 - journals.riverpublishers.com
Particle swarm optimizer is one of the searched based stochastic technique that has a
weakness of being trapped into local optima. Thus, to tradeoff between the local and global …