particle swarm optimization and differential evolution algorithms (Verlag GmbH)
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Verlag GmbH
particle swarm optimization and differential evolution algorithms
Particle Swarm Optimization And Differential Evolution Algorithms, supplied by Verlag GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/particle+swarm+optimization+and+differential+evolution+algorithms/particle+swarm+optimization+and+differential+evolution+algorithms/10__1007_slash_s12555___017___0322___9-274-6-28
Average 90 stars, based on 1 article reviews
Particle Swarm Optimization And Differential Evolution Algorithms, supplied by Verlag GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/particle+swarm+optimization+and+differential+evolution+algorithms/particle+swarm+optimization+and+differential+evolution+algorithms/10__1007_slash_s12555___017___0322___9-274-6-28
Average 90 stars, based on 1 article reviews
particle swarm optimization and differential evolution algorithms - by Bioz Stars,
2026-10
90/100 stars
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Hybridization:Article Title: Optimal Discrete-time Integral Sliding Mode Control for Piecewise Affine Systems Article Snippet: This paper presents an optimal discrete-time integral sliding mode control for constrained piecewise affine systems.. The proposed scheme is developed on the basis of linear quadratic regulator approach and differential evolution algorithm in order to ensure the stability of the closed-loop system in discrete-time sliding mode and the optimization of response characteristics in presence of control input constraints.. Moreover, the controller is designed such that chattering phenomenon is avoided and finite-time convergence to the sliding surface is guaranteed. Article Title: An ideal tri-population approach for unconstrained optimization and applications Article Snippet: The hybridization of Differential Evolution (DE) and Particle Swarm Optimization (PSO) have been well preferred over their individual effort in solving optimization problems.. The way of applying DE and PSO in the hybridization process is a big deal to achieve promising solutions.. Recently, they have been used simultaneously (i.e. in parallel) on different sub-populations of the same population, instead of applying them alternatively in series over the generation. |