Algorithms for Evolutionary Computation
A special issue of Algorithms (ISSN 1999-4893).
Deadline for manuscript submissions: closed (15 April 2021) | Viewed by 497
Special Issue Editor
Special Issue Information
Dear Colleagues,
Evolutionary Computation (EC) is a mature field of research within Artificial Intelligence. The power of EC algorithms relies heavily on the implicit parallelism of the search process to sieving the large set of candidate solutions, looking for the best ones. The balance between exploration and exploitation is carefully managed in EC algorithms. Oftentimes allowing exploration to take the lead, they produce novel and creative solutions to the problems they tackle.
Evolutionary algorithms are used for diverse problems, which are often formulated in dynamic and changing environments that place many constraints and are very hard to solve with other methods. Traditional applications of EC include routing, scheduling, or engineering optimization problems. More recently, with the flourishing advent of Deep Learning, a novel application of evolutionary algorithms is foreshadowed: the design of the architecture of the network.
This Special Issue aims to gather novel developments in the field of Evolutionary Computation and to present new applications of these algorithms. Researchers from both academia and industry are invited to contribute their latest research on EC-related topics.
Dr. Elena Bautu
Guest Editor
Manuscript Submission Information
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Keywords
- evolutionary algorithms
- genetic algorithms
- genetic programming
- gene expression programming
- population-based algorithms
- nature-inspired algorithms
- hybrid algorithms; optimization
- data-driven evolutionary optimization
- deep learning
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