IEEE International Workshop on Intelligent Evolutionary Computation (IEC 2024)


Metaheuristics algorithms are popular ways for dealing with many hard optimization problems that computationally expensive, such as path planning, production scheduling, decision making, distribution planning, and inventory management. Impressive achievements in such tasks raised expectations for deploying metaheuristics algorithms in real-world applications, including the ones in safety-critical domains. Those domains include but not limited to energy, transport, telecommunications, health, education, and production. Therefore, soundly engineered, high-performing, reusable, flexible, reliable and robust metaheuristics algorithms and its software systems are more than ever required to bridge the gap between theoretical research and practical application. This workshop focuses on the importance of high-quality software systems and professional software engineering in the field of evolutionary computation and provides a platform for evolutionary computation researchers to present and debate about the current achievements of applying metaheuristics techniques to solve real-world optimization problems and the future challenges.


The list of topics includes, but is not limited to:

  • Evolutionary computing and decision making in real-work applications
  • Real-world applications of hyper-heuristics
  • Empirical comparison and evaluation of hyper-heuristics
  • Evolutionary computing in software engineering
  • Multi-, many-, or meta-objective optimizations for computationally expensive problems
  • Using surrogate models in decision making
  • Analysis, visualization, and theory of Fitness landscape of optimization problems
  • Evolutionary computation machine learning and deep learning
  • Evolutionary reinforcement learning
  • Deep natural network for Evolutionary computation and decision making
  • Development and application of Neuroevolution
  • Parallel and distributed evolutionary computing
  • Usability and automation of evolutionary computing
  • Hyperparameter optimization


Authors are invited to submit original unpublished research papers as well as industrial practice papers. Simultaneous submissions to other conferences are not permitted. Detailed instructions for electronic paper submission, panel proposals, and review process can be found at QRS submission.

Each submission can have a maximum of ten pages. It should include a title, the name and affiliation of each author, a 300-word abstract, and up to 6 keywords. Shorter version papers (up to six pages) are also allowed.

All papers must conform to the QRS conference proceedings format (PDF | Word DOCX | Latex) and Submission Guideline set in advance by QRS 2024. At least one of the authors of each accepted paper is required to pay the full registration fee and present the paper at the workshop. Submissions must be in PDF format and uploaded to the conference submission site. Arrangements are being made to publish extended version of top-quality papers in selected SCI journals.


Program Chairs

Man Zhao's avatar
Man Zhao

China University of Geosciences (Wuhan)

Dongcheng Li's avatar
Dongcheng Li

University of Texas at Dallas

Program Committee

Name Affiliation
Wenyin Gong China University of Geosciences
Xiaopan Zhang Wuhan University of Technology
Chengyu Hu China University of Geosciences
Liangcun Jiang Wuhan University of Technology
Xiaobo Liu China University of Geosciences
Hua Li Wuhan University of Technology
Lei Peng China University of Geosciences
Yuanni Wang China University of Geosciences
Siqing Xue China University of Geosciences
Boxin Zuo China University of Geosciences

Previous IEC

  • IEC 2022 - Guangzhou (in conjunction with QRS 2022)
  • IEC 2021 - Hainan Island (in conjunction with QRS 2021)