PSO-X: A Component-Based Framework for the Automatic Design of Particle Swarm Optimization Algorithms
نویسندگان
چکیده
The particle swarm optimization (PSO) algorithm has been the object of many studies and modifications for more than 25 years. Ranging from small refinements to incorporation sophisticated novel ideas, majority proposed this have result a manual process in which developers try new designs based on their own knowledge expertise. However, manually introducing changes is very time consuming makes systematic exploration all possible configurations difficult process. In article, we propose use automatic design overcome limitations having find performing PSO algorithms. We develop flexible software framework PSO, called PSO-X, specifically designed integrate configuration tools into generating Our embodies large number components developed over years research that allowed deal with variety problems, uses irace , state-of-the-art tool, automatize task selecting configuring algorithms starting these components. show capable finding high-performing instances never before.
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ژورنال
عنوان ژورنال: IEEE Transactions on Evolutionary Computation
سال: 2022
ISSN: ['1941-0026', '1089-778X']
DOI: https://doi.org/10.1109/tevc.2021.3102863