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.
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).
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Lévy Flight Trajectory-Based Whale Optimization Algorithm for Global Optimization
Ying Ling;Yongquan Zhou;Qifang Luo.
IEEE Access (2017)
Grey wolf optimizer for unmanned combat aerial vehicle path planning
Sen Zhang;Yongquan Zhou;Zhiming Li;Wei Pan.
Advances in Engineering Software (2016)
A Novel Bat Algorithm Based on Differential Operator and Lévy Flights Trajectory
Jian Xie;Yongquan Zhou;Huan Chen.
Computational Intelligence and Neuroscience (2013)
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)
A discrete invasive weed optimization algorithm for solving traveling salesman problem
Yongquan Zhou;Qifang Luo;Huan Chen;Anping He.
An Enhanced Fast Non-Dominated Solution Sorting Genetic Algorithm for Multi-objective Problems
Wu Deng;Xiaoxiao Zhang;Yongquan Zhou;Yi Liu.
Information Sciences (2021)
Elite opposition-based flower pollination algorithm
Yongquan Zhou;Rui Wang;Qifang Luo.
Flower Pollination Algorithm with Dimension by Dimension Improvement
Rui Wang;Yongquan Zhou.
Mathematical Problems in Engineering (2014)
A Novel Global Convergence Algorithm: Bee Collecting Pollen Algorithm
Xueyan Lu;Yongquan Zhou.
international conference on intelligent computing (2008)
An improved monkey algorithm for a 0-1 knapsack problem
Yongquan Zhou;Xin Chen;Guo Zhou.
soft computing (2016)
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