Virtual special issue on advances in meta-heuristics and applications in complex optimisation problems

Published 19 May, 2022


 There are various classifications for meta-heuristics, such as evolution-based, swarm intelligence-based, physics-based and human behaviour-based. Examples include simulated annealing (SA), genetic algorithms (GA), particle swarm optimisation (PSO) and differential evolution (DE). Compared with exact algorithms, meta-heuristics depend less on mathematical modelling and derivation – they use the “trial-and-error” principle in searching for solutions. Meta-heuristics with high flexibility show inherent advantages in avoiding local optimum in many cases.

However, finding ways to effectively optimise meta-heuristics remains a challenge.The purpose of this special issue is to bring together the latest theory research on complex optimisation problems.

Topics covered:

These include, but are not limited to:

  • Reviews on different meta-heuristics
  • Improvements in different meta-heuristics
  • Applications of meta-heuristicsin:
    • Logistics and supply chain management
    • Machine learning and deep learning models
    • Engineering optimisation problems
    • Prediction theories andmethods
    • Economics modelling

Important deadlines:

Submission deadline: 15 November 2022

Submission Instructions:

Please read the Guide for Authors before submitting. All articles should be submitted online; please select Meta-heuristics upon submission.

Guest Editors:

  • Dr. Lin Wang, Professor, Huazhong University of Science and Technology, China. Email:
  • Dr. Qinghua Wu, Professor, Huazhong University of Science and Technology, China. Email:
  • Dr. Wu Deng, Professor, Civil Aviation University of China, China. Email:
  • Dr. Lu Peng, Associate Research Fellow, Wuhan University of Technology, China. Email:

For further enquiries, please send emails to, and the editing team will answer promptly.

Back to Call for Papers

Stay Informed

Register your interest and receive email alerts tailored to your needs. Sign up below.