New Challenges in Evolutionary Computation
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".
Deadline for manuscript submissions: closed (28 July 2022) | Viewed by 5249
Special Issue Editor
Special Issue Information
Dear Colleagues,
The field of evolutionary computation (EC) has been a prolific research area since its inception. In recent decades, many techniques have taken advantage of the evolutionary paradigm and widely demonstrated their problem-solving capability in numerous real-world applications in various contexts and applications. This idea of mimicking procedures found in nature have led to remarkably effective techniques; indeed, EC has been rapidly growing to yield complex techniques with extremely sophisticated exploration mechanisms ideal for dynamic optimization. Nowadays, there are several new challenges for EC techniques mostly linked to their new applications across a range of fields, such as evolutionary data mining, vehicle routing, scheduling, multiobjective optimization with high dimensionality problems, hyperparameter optimization, or evolutionary algorithms as hyperheuristics. In addition to their novel applications, given the intrinsic stochastic nature of these techniques, interesting research lines explore their combination with other techniques, such as deep neural networks or deterministic techniques. Finally, any innovative proposal to improve parametrization, computational cost, convergence robustness, or scalability will be taken into consideration.
The aim of this Special Issue is to publish innovative research works related to the modern challenges faced by EC, particularly those that contribute to advances in the field of EC from both theoretical and applied perspectives.
Prof. Yago Saez
Guest Editor
Manuscript Submission Information
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Keywords
- evolutionary computation
- genetic algorithms
- evolutionary strategies
- genetic programming
- evolutionary programming
- grammatical evolution
- memetic computation
- differential evolution
- evolutionary game theory
- evolutionary data mining
- coevolution
- neuroevolution
- multiobjective evolutionary computation
- interactive evolutionary computation
- dynamic optimization
