Dec 16, 2021 · Experiments on 16 classical random strength covering arrays suggest that our approach outperforms six other techniques in terms of effectiveness.
Experiments on 16 classical random strength covering arrays suggest that our approach outperforms six other techniques in terms of effectiveness. Index Terms— ...
Oct 9, 2014 · In this paper, we extend the set-based PSO, an existing discrete PSO (DPSO) method, to covering array generation. Two auxiliary strategies ( ...
This paper presents a multi-learning-based quantum particle swarm optimization (IQIPSO) for high and variable strength covering array generation (VSCAG).
This paper presents a multi-learning-based quantum particle swarm optimization (IQIPSO) for high and variable strength covering array generation (VSCAG).
Improved Particle Swarm Optimization (IPSO) algorithm is a modified version of the traditional PSO algorithm, incorporating a crossover operator and a mutation ...
Missing: Covering | Show results with:Covering
In this paper, we try to produce an appropriate test suite of high efficiency and performance using PSO. A simple and effective minimizer function has also been ...
Missing: Improved | Show results with:Improved
In this paper, we extend the set-based PSO, an existing discrete PSO (DPSO) method, to covering array generation. Two auxiliary strategies (particle ...
People also ask
What is improved particle swarm optimization?
What are the drawbacks of particle swarm optimization?
What is particle swarm optimization?
What is the difference between genetic algorithm and particle swarm optimization?
Dec 1, 2015 · This paper presents a new and effective approach for constructing efficient covering arrays through fuzzy-based, adaptive particle swarm ...
Aug 18, 2023 · This paper presents a multi-learning-based quantum particle swarm optimization (IQIPSO) for high and variable strength covering array generation ...