Advances in Artificial Intelligence and Metaheuristics Methods for Planning and Scheduling

Dear Colleagues,

Planning and scheduling problems are a family of problems that includes several examples which appear daily in all administrative and productive sectors. In general, these are problems of high computational complexity, so exact resolution strategies are impracticable. Thus, they constitute a promised field of application of many artificial intelligence techniques, such as metaheuristics, swarm intelligence, and other nature-inspired optimization techniques.

We are interested in academic problems since they allow us to evaluate the optimization approaches through experimentation on benchmark problems from research community repositories. We are also very interested in developing solutions to current real-world problems, including dynamic and pervasive scenarios.

This Special Issue will focus on recent theoretical and computational studies of the application of metaheuristics and nature-inspired optimization techniques to planning and scheduling in real-world problems. Topics include but are not limited to:

1. Intelligent optimization for production planning and scheduling.
2. Evolutionary computation and metaheuristics: theory and foundations.
3. Hybrid optimization techniques (swarm intelligence, evolutionary algorithms).
4. Computation using neural networks and fuzzy systems.
5. Dynamic production scheduling.
6. Metaheuristic parametrization and self-parametrization techniques.
7. Machine learning for planning and scheduling optimization.
8. AI for planning and scheduling.
9. Multi-criteria approach in planning and scheduling.
10. Applications in industry, transportation, services, and others.
11. Use case applications in Industry 4.0, transportation, health systems, and telecommunication (5G).

Advances in artificial intelligence and metaheuristics methods and their hybrids for planning and scheduling are particularly welcome in this Special Issue.

Prof. Dr. Ana Maria Madureira
Prof. Dr. Joao Ferreira
Prof. Dr. André Santos
Guest Editors

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