Application of Genetic and Evolutionary Computation
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: 31 July 2026 | Viewed by 48
Special Issue Editor
Interests: artificial intelligence; evolutionary computation; deep learning; fuzzy systems; novelty search; neural networks; grammatical computation; genetic programming; genetic algorithms; swarm intelligence; evolutionary robotics; autonomous navigation; computer
Special Issue Information
Dear Colleagues,
With the significant role that artificial intelligence (AI) has achieved, evolutionary computation (EC), in general, regains significant relevance as a robust tool for solving real-world problems. EC is at the forefront of nature-inspired computation, offering powerful, adaptive algorithms to solve some of the most complex design and optimization challenges in science and engineering, particularly those involving optimization and adaptation in complex, dynamic, or even poorly understood environments.
This Special Issue aims to serve as a comprehensive resource for researchers and practitioners, fostering a deeper understanding of evolutionary computation and to highlight the latest developments and practical applications of EC algorithms. We welcome contributions that explore novel approaches, hybrid algorithms, theoretical foundations, and real-world problems application, including studies that compare the performance of different techniques and parameter tuning strategies and propose new benchmarks for algorithm evaluation.
Dr. Enrique Naredo
Guest Editor
Manuscript Submission Information
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Keywords
- evolutionary computation (EC)
- swarm intelligence (SI)
- artificial intelligence (AI)
- genetic programming (GP)
- cartesian GP
- linear GP
- grammatical evolution (GE)
- differential evolution (DE)
- gene expression programming
- multi expression programming
- bio-inspired optimization methods
- applied optimization
- evolvable systems of all types
- automatic programming
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