D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 32 Citations 8,062 122 World Ranking 7152 National Ranking 676

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Operating system
  • Algorithm

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.

His most cited work include:

  • Adaptive Particle Swarm Optimization (1300 citations)
  • Orthogonal Learning Particle Swarm Optimization (514 citations)
  • Particle Swarm Optimization With an Aging Leader and Challengers (366 citations)

What are the main themes of his work throughout his whole career to date?

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.

He most often published in these fields:

  • Mathematical optimization (58.22%)
  • Particle swarm optimization (41.78%)
  • Optimization problem (32.88%)

What were the highlights of his more recent work (between 2019-2021)?

  • Optimization problem (32.88%)
  • Mathematical optimization (58.22%)
  • Particle swarm optimization (41.78%)

In recent papers he was focusing on the following fields of study:

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.

Between 2019 and 2021, his most popular works were:

  • Automatic Niching Differential Evolution With Contour Prediction Approach for Multimodal Optimization Problems (40 citations)
  • Adaptive Distributed Differential Evolution (20 citations)
  • Dynamic Group Learning Distributed Particle Swarm Optimization for Large-Scale Optimization and Its Application in Cloud Workflow Scheduling (20 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Operating system
  • Algorithm

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.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Adaptive Particle Swarm Optimization

Zhi-Hui Zhan;Jun Zhang;Yun Li;H.S.-H. Chung.
systems man and cybernetics (2009)

1782 Citations

Orthogonal Learning Particle Swarm Optimization

Zhi-Hui Zhan;Jun Zhang;Yun Li;Yu-Hui Shi.
IEEE Transactions on Evolutionary Computation (2011)

694 Citations

Particle Swarm Optimization With an Aging Leader and Challengers

Wei-Neng Chen;Jun Zhang;Ying Lin;Ni Chen.
IEEE Transactions on Evolutionary Computation (2013)

472 Citations

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)

401 Citations

Distributed evolutionary algorithms and their models

Yue-Jiao Gong;Wei-Neng Chen;Zhi-Hui Zhan;Jun Zhang.
soft computing (2015)

292 Citations

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)

223 Citations

Evolutionary Computation Meets Machine Learning: A Survey

Jun Zhang;Zhi-hui Zhan;Ying Lin;Ni Chen.
IEEE Computational Intelligence Magazine (2011)

216 Citations

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)

208 Citations

A modified brain storm optimization

Zhi-hui Zhan;Jun Zhang;Yu-hui Shi;Hai-lin Liu.
congress on evolutionary computation (2012)

190 Citations

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)

171 Citations

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