Algorithms for Evolutionary Computation

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

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• evolutionary algorithms
• genetic algorithms
• genetic programming
• gene expression programming
• population-based algorithms
• nature-inspired algorithms
• hybrid algorithms; optimization
• data-driven evolutionary optimization
• deep learning