Artificial Intelligence and Metaheuristics: Connections and Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "D2: Operations Research and Fuzzy Decision Making".
Deadline for manuscript submissions: closed (30 September 2024) | Viewed by 6891
Special Issue Editors
Interests: artificial intelligence; metaheuristics; data science; information retrieval; NLP
Interests: clustering; dimensionality reduction; kernel methods; digital signal processing
Special Issue Information
Dear Colleagues,
Humanity's problems are becoming increasingly complex on a daily basis, and approaches that hybridize different techniques have been critical to solving many of these problems. Artificial intelligence (machine learning, deep learning, reinforcement learning, expert systems, and fuzzy systems) and metaheuristics (genetic algorithms, memetic algorithms, swarm intelligence, and differential evolution, among others) are two important examples of fields of knowledge that can be synergistically combined to solve highly complex problems.
In this Special Issue, we are interested in recent solutions that explicitly show the interrelation of these two fields (AI and metaheuristics) for the solution of academic, scientific, or industrial problems where, in addition, it is evident how the proposed solution was subjected to an evaluation concerning the quality of the obtained solution, the execution time, or other relevant metrics. Topics include, but are not limited to, the following:
- Hybrid intelligent optimization techniques for solving very high-complexity problems.
- Applications in industry, transportation, health, agriculture, services, and others.
- Metaheuristic algorithms enhanced with artificial intelligence techniques and vice versa.
Prof. Dr. Carlos-Alberto Cobos-Lozada
Dr. Diego Hernán Peluffo-Ordóñez
Prof. Dr. Himer Avila
Guest Editors
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Keywords
- artificial intelligence
- machine learning
- deep learning
- metaheuristics
- nature-inspired algorithms
- hybrid approaches
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