His scientific interests lie mostly in Mathematical optimization, Particle swarm optimization, Artificial intelligence, Evolutionary computation and Evolutionary algorithm. His Convergence research extends to Mathematical optimization, which is thematically connected. His research in Particle swarm optimization tackles topics such as Global optimization which are related to areas like Local optimum.
His Artificial intelligence study combines topics in areas such as Swarm intelligence, Genetic algorithm and Algorithm. His research integrates issues of Multi-objective optimization and Schedule in his study of Evolutionary computation. In his study, Robustness, Differential evolution and Key is strongly linked to Algorithm design, which falls under the umbrella field of Evolutionary algorithm.
Zhi-Hui Zhan mostly deals with Mathematical optimization, Particle swarm optimization, Optimization problem, Differential evolution and Benchmark. His study looks at the relationship between Mathematical optimization and topics such as Convergence, which overlap with Adaptive control. Zhi-Hui Zhan has included themes like Evolutionary computation, Swarm behaviour, Local optimum and Artificial intelligence in his Particle swarm optimization study.
His research in Evolutionary computation intersects with topics in Theoretical computer science, Computational intelligence and Global optimization. His study looks at the relationship between Artificial intelligence and fields such as Swarm intelligence, as well as how they intersect with chemical problems. The various areas that Zhi-Hui Zhan examines in his Optimization problem study include Local search and Selection.
Zhi-Hui Zhan mainly investigates Optimization problem, Mathematical optimization, Particle swarm optimization, Benchmark and Differential evolution. His studies deal with areas such as Evolutionary algorithm, Convergence, Genetic algorithm and Surrogate model as well as Optimization problem. His study brings together the fields of Process and Mathematical optimization.
His Particle swarm optimization research includes elements of Theoretical computer science, Encoding, Evolutionary computation, Scheduling and Workflow. His Benchmark study frequently draws connections between adjacent fields such as Dimension. His Differential evolution study combines topics from a wide range of disciplines, such as Range, Global optimization and Mutation.
Zhi-Hui Zhan mainly focuses on Benchmark, Particle swarm optimization, Optimization problem, Differential evolution and Artificial intelligence. His biological study spans a wide range of topics, including Convergence, Hash function, Granularity and Cluster analysis. The Particle swarm optimization study combines topics in areas such as Function, Data mining, Local optimum and Integer.
His study with Optimization problem involves better knowledge in Mathematical optimization. His Differential evolution research includes themes of Population size, Global optimization and Sensitivity. Many of his research projects under Artificial intelligence are closely connected to Forgetting with Forgetting, tying the diverse disciplines of science together.
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Adaptive Particle Swarm Optimization
Zhi-Hui Zhan;Jun Zhang;Yun Li;H.S.-H. Chung.
systems man and cybernetics (2009)
Orthogonal Learning Particle Swarm Optimization
Zhi-Hui Zhan;Jun Zhang;Yun Li;Yu-Hui Shi.
IEEE Transactions on Evolutionary Computation (2011)
Particle Swarm Optimization With an Aging Leader and Challengers
Wei-Neng Chen;Jun Zhang;Ying Lin;Ni Chen.
IEEE Transactions on Evolutionary Computation (2013)
Cloud Computing Resource Scheduling and a Survey of Its Evolutionary Approaches
Zhi-Hui Zhan;Xiao-Fang Liu;Yue-Jiao Gong;Jun Zhang.
ACM Computing Surveys (2015)
Distributed evolutionary algorithms and their models
Yue-Jiao Gong;Wei-Neng Chen;Zhi-Hui Zhan;Jun Zhang.
soft computing (2015)
Multiple Populations for Multiple Objectives: A Coevolutionary Technique for Solving Multiobjective Optimization Problems
Zhi-Hui Zhan;Jingjing Li;Jiannong Cao;Jun Zhang.
IEEE Transactions on Systems, Man, and Cybernetics (2013)
Evolutionary Computation Meets Machine Learning: A Survey
Jun Zhang;Zhi-hui Zhan;Ying Lin;Ni Chen.
IEEE Computational Intelligence Magazine (2011)
An Energy Efficient Ant Colony System for Virtual Machine Placement in Cloud Computing
Xiao-Fang Liu;Zhi-Hui Zhan;Jeremiah D. Deng;Yun Li.
IEEE Transactions on Evolutionary Computation (2018)
A modified brain storm optimization
Zhi-hui Zhan;Jun Zhang;Yu-hui Shi;Hai-lin Liu.
congress on evolutionary computation (2012)
An Efficient Ant Colony System Based on Receding Horizon Control for the Aircraft Arrival Sequencing and Scheduling Problem
Zhi-Hui Zhan;Jun Zhang;Yun Li;Ou Liu.
IEEE Transactions on Intelligent Transportation Systems (2010)
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