Advances in Swarm Intelligence and Evolutionary Computation
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: closed (31 October 2022) | Viewed by 3076
Special Issue Editor
Interests: swarm intelligence; evolutionary computation; multirobot systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Swarm intelligence and evolutionary computation are Nature-inspired, population-based search methods. Due to their strong search capabilities, they have been successfully applied to many optimization problems. While in the early days of this field swarm intelligence and evolutionary computation were inevitably focused on parameter adaptation, strategy improvements, etc., with the emergence of complex optimization problems (e.g., multitask optimization, multiobjective optimization, dynamic optimization), there is increasing interest in conducting research on machine-learning-assisted optimization algorithms. These algorithms use the knowledge learned from the search procedure of a specific problem or across related problems to achieve better performance. However, there has still been little effort made to discuss how to learn and how to use the knowledge in a specific problem or transfer knowledge across related problems. To improve the optimization efficiency for complex optimization problems, it is still necessary to develop more effective swarm intelligence and evolutionary algorithms, as well as their applications to real-world problems.
Dr. Xiao-Fang Liu
Guest Editor
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Keywords
- knowledge transfer
- swarm intelligence
- evolutionary computation
- machine learning
- dynamic optimization
- multiobjective optimization
- multitask optimization
- applications
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