D-Index & Metrics Best Publications

D-Index & Metrics 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.

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 34 Citations 4,034 157 World Ranking 8238 National Ranking 837

Overview

What is he best known for?

The fields of study Yongquan Zhou is best known for:

  • Mathematical optimization
  • Travelling salesman problem
  • Algorithm

Yongquan Zhou works mostly in the field of Optimization algorithm, limiting it down to concerns involving Mathematical optimization and, occasionally, Particle swarm optimization, Evolutionary algorithm, Travelling salesman problem and Metaheuristic. In his papers, Yongquan Zhou integrates diverse fields, such as Evolutionary algorithm and Mathematical optimization. His research investigates the link between Pollination and topics such as Pollen that cross with problems in Ecology. His work on Pollen expands to the thematically related Ecology. His Algorithm research is linked to Particle swarm optimization, Metaheuristic and Travelling salesman problem, among other subjects. Borrowing concepts from Data mining, he weaves in ideas under Artificial intelligence. In his articles, he combines various disciplines, including Data mining and Artificial intelligence. In his works, Yongquan Zhou performs multidisciplinary study on Economic growth and Convergence (economics). He integrates Convergence (economics) and Economic growth in his studies.

His most cited work include:

  • Lévy Flight Trajectory-Based Whale Optimization Algorithm for Global Optimization (246 citations)
  • Grey wolf optimizer for unmanned combat aerial vehicle path planning (179 citations)
  • An enhanced fast non-dominated solution sorting genetic algorithm for multi-objective problems (178 citations)

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

Algorithm is intertwined with Particle swarm optimization and Metaheuristic in his research. His Mathematical optimization study frequently draws connections to other fields, such as Optimization algorithm, Particle swarm optimization and Metaheuristic. His research on Optimization algorithm often connects related topics like Mathematical optimization. He merges Artificial intelligence with Algorithm in his research. Yongquan Zhou integrates many fields, such as Convergence (economics) and Economic growth, in his works. Yongquan Zhou combines Economic growth and Convergence (economics) in his research. His research ties Demography and Population together. His study on Demography is mostly dedicated to connecting different topics, such as Population. His study connects Geodesy and Benchmark (surveying).

Yongquan Zhou most often published in these fields:

  • Algorithm (70.00%)
  • Mathematical optimization (56.88%)
  • Artificial intelligence (41.25%)

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

Lévy Flight Trajectory-Based Whale Optimization Algorithm for Global Optimization

Ying Ling;Yongquan Zhou;Qifang Luo.
IEEE Access (2017)

265 Citations

Grey wolf optimizer for unmanned combat aerial vehicle path planning

Sen Zhang;Yongquan Zhou;Zhiming Li;Wei Pan.
Advances in Engineering Software (2016)

180 Citations

A Novel Bat Algorithm Based on Differential Operator and Lévy Flights Trajectory

Jian Xie;Yongquan Zhou;Huan Chen.
Computational Intelligence and Neuroscience (2013)

161 Citations

Multi-criteria group decision making based on neutrosophic analytic hierarchy process

Mohamed Abdel-Basset;Mai Mohamed;Yongquan Zhou;Ibrahim M. Hezam.
Journal of Intelligent and Fuzzy Systems (2017)

160 Citations

A discrete invasive weed optimization algorithm for solving traveling salesman problem

Yongquan Zhou;Qifang Luo;Huan Chen;Anping He.
Neurocomputing (2015)

118 Citations

An Enhanced Fast Non-Dominated Solution Sorting Genetic Algorithm for Multi-objective Problems

Wu Deng;Xiaoxiao Zhang;Yongquan Zhou;Yi Liu.
Information Sciences (2021)

113 Citations

Elite opposition-based flower pollination algorithm

Yongquan Zhou;Rui Wang;Qifang Luo.
Neurocomputing (2016)

105 Citations

Flower Pollination Algorithm with Dimension by Dimension Improvement

Rui Wang;Yongquan Zhou.
Mathematical Problems in Engineering (2014)

102 Citations

A Novel Global Convergence Algorithm: Bee Collecting Pollen Algorithm

Xueyan Lu;Yongquan Zhou.
international conference on intelligent computing (2008)

98 Citations

An improved monkey algorithm for a 0-1 knapsack problem

Yongquan Zhou;Xin Chen;Guo Zhou.
soft computing (2016)

97 Citations

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