World's Best Scientists 2026 revealed!

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Computer Science

D-Index
50
Citations
8550
World Ranking
5679
National Ranking
750

Overview

Yongquan Zhou is a researcher affiliated with Guangxi University for Nationalities in China. Their work spans across multiple subfields within computer science and engineering, focusing heavily on optimization and artificial intelligence.

The primary fields of study in Zhou's research include:

  • Computer Science
  • Engineering

Within these fields, Zhou's research explores several subfields such as:

  • Artificial Intelligence
  • Industrial and Manufacturing Engineering
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Computational Theory and Mathematics

The main topics addressed in their work cover areas including:

  • Metaheuristic Optimization Algorithms Research
  • Advanced Multi-Objective Optimization Algorithms
  • Vehicle Routing Optimization Methods
  • Evolutionary Algorithms and Applications
  • Robotic Path Planning Algorithms
  • Machine Learning and ELM
  • Face and Expression Recognition

Yongquan Zhou has authored multiple papers published in recognized scientific venues. Notable recent publications include:

  • "An enhanced fast non-dominated solution sorting genetic algorithm for multi-objective problems," 2021, Information Sciences
  • "Quantum differential evolution with cooperative coevolution framework and hybrid mutation strategy for large scale optimization," 2021, Knowledge-Based Systems
  • "An improved quantum-inspired cooperative co-evolution algorithm with muli-strategy and its application," 2021, Expert Systems with Applications
  • "Multi-strategy particle swarm and ant colony hybrid optimization for airport taxiway planning problem," 2022, Information Sciences
  • "MOMPA: Multi-objective marine predator algorithm," 2021, Computer Methods in Applied Mechanics and Engineering

The venues in which Zhou frequently publishes include:

  • Biomimetics
  • SSRN Electronic Journal
  • Neurocomputing
  • Mathematical Biosciences & Engineering
  • International Journal of Computational Intelligence Systems

Collaboration is a component of Zhou's research activities, with frequent co-authors such as:

  • Qifang Luo
  • Guo Zhou
  • Yuanfei Wei
  • Huajuan Huang
  • Wu Deng

Best Publications

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

    Wu Deng;Xiaoxiao Zhang;Yongquan Zhou;Yi Liu

  • Lévy Flight Trajectory-Based Whale Optimization Algorithm for Global Optimization

    Ying Ling;Yongquan Zhou;Qifang Luo

  • Grey wolf optimizer for unmanned combat aerial vehicle path planning

    Sen Zhang;Yongquan Zhou;Zhiming Li;Wei Pan

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

    Mohamed Abdel-Basset;Mai Mohamed;Yongquan Zhou;Ibrahim M. Hezam

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

    Jian Xie;Yongquan Zhou;Huan Chen

  • Quantum differential evolution with cooperative coevolution framework and hybrid mutation strategy for large scale optimization

    Wu Deng;Shifan Shang;Xing Cai;Huimin Zhao

  • Elite opposition-based flower pollination algorithm

    Yongquan Zhou;Rui Wang;Qifang Luo

  • A discrete invasive weed optimization algorithm for solving traveling salesman problem

    Yongquan Zhou;Qifang Luo;Huan Chen;Anping He

  • An improved quantum-inspired cooperative co-evolution algorithm with muli-strategy and its application

    Xing Cai;Huimin Zhao;Shifan Shang;Yongquan Zhou

  • An improved monkey algorithm for a 0-1 knapsack problem

    Yongquan Zhou;Xin Chen;Guo Zhou

  • A Novel Global Convergence Algorithm: Bee Collecting Pollen Algorithm

    Xueyan Lu;Yongquan Zhou

  • MOMPA: Multi-objective marine predator algorithm

    Keyu Zhong;Guo Zhou;Wu Deng;Yongquan Zhou

  • Invasive weed optimization algorithm for optimization no-idle flow shop scheduling problem

    Yongquan Zhou;Huan Chen;Guo Zhou

  • An Efficient Binary Equilibrium Optimizer Algorithm for Feature Selection

    Yuanyuan Gao;Yongquan Zhou;Qifang Luo

  • Hybrid Grey Wolf Optimizer Using Elite Opposition-Based Learning Strategy and Simplex Method

    Sen Zhang;Qifang Luo;Yongquan Zhou

  • Lévy-Flight Moth-Flame Algorithm for Function Optimization and Engineering Design Problems

    Zhiming Li;Yongquan Zhou;Sen Zhang;Junmin Song

  • An Improved Ant Colony Optimization algorithm to the Periodic Vehicle Routing Problem with Time Window and Service Choice

    Yuan Wang;Ling Wang;Guangcai Chen;Zhaoquan Cai

  • Flower Pollination Algorithm with Dimension by Dimension Improvement

    Rui Wang;Yongquan Zhou

  • Flower Pollination Algorithm with Bee Pollinator for Cluster Analysis

    Rui Wang;Yongquan Zhou;Shilei Qiao;Kang Huang

  • Automatic data clustering using nature-inspired symbiotic organism search algorithm

    Yongquan Zhou;Haizhou Wu;Haizhou Wu;Qifang Luo;Mohamed Abdel-Baset

  • Grey Wolf Optimizer Based on Powell Local Optimization Method for Clustering Analysis

    Sen Zhang;Yongquan Zhou

  • A novel complex-valued bat algorithm

    Liangliang Li;Yongquan Zhou

Frequent Co-Authors

Mohamed Abdel-Basset
Mohamed Abdel-Basset Zagazig University
Florentin Smarandache
Florentin Smarandache University of New Mexico
Ling Wang
Ling Wang Tsinghua University
Laith Mohammad Abualigah
Laith Mohammad Abualigah Al al-Bayt University
Victor Chang
Victor Chang Aston University
Huiling Chen
Huiling Chen Wenzhou University

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