Z
Zhi-Hui Zhan
Researcher at South China University of Technology
Publications - 200
Citations - 11445
Zhi-Hui Zhan is an academic researcher from South China University of Technology. The author has contributed to research in topics: Particle swarm optimization & Optimization problem. The author has an hindex of 37, co-authored 154 publications receiving 7735 citations. Previous affiliations of Zhi-Hui Zhan include National Sun Yat-sen University & Sun Yat-sen University.
Papers
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Journal ArticleDOI
Adaptive Particle Swarm Optimization
TL;DR: An adaptive particle swarm optimization that features better search efficiency than classical particle Swarm optimization (PSO) is presented and can perform a global search over the entire search space with faster convergence speed.
Journal ArticleDOI
Orthogonal Learning Particle Swarm Optimization
TL;DR: Compared with other PSO algorithms, the comparisons show that OLPSO significantly improves the performance of PSO, offering faster global convergence, higher solution quality, and stronger robustness.
Journal ArticleDOI
Particle Swarm Optimization With an Aging Leader and Challengers
TL;DR: ALC-PSO is designed to overcome the problem of premature convergence without significantly impairing the fast-converging feature of PSO and serves as a challenging mechanism for promoting a suitable leader to lead the swarm.
Book ChapterDOI
Adaptive Particle Swarm Optimization
Zhi-Hui Zhan,Jun Zhang +1 more
TL;DR: An adaptive particle swarm optimization with adaptive parameters and elitist learning strategy (ELS) based on the evolutionary state estimation (ESE) approach is proposed, resulting in substantially improved quality of global solutions.
Journal ArticleDOI
Cloud Computing Resource Scheduling and a Survey of Its Evolutionary Approaches
TL;DR: Through analyzing the cloud computing architecture, this survey first presents taxonomy at two levels of scheduling cloud resources, then paints a landscape of the scheduling problem and solutions, and a comprehensive survey of state-of-the-art approaches is presented systematically.