Advancements in Evolutionary Computation

Dear Colleagues,

Evolutionary computation, a family of algorithms inspired by biological evolution for global optimization, has been developed for a few decades. Evolutionary computation is used to solve complex optimization problems that have too many variables for traditional algorithms. Potential applications are wide-ranging and include problems from combinatorial optimization, multi-objective optimization, and numerical optimization in diverse domains, such as engineering, biology, medicine, robotics, etc. In particular, these problems are often noisy, stochastic, or have dynamically changing constraints. This is where evolutionary computation methods are often applied, as they have been shown to be highly successful when dealing with difficult problem domains. Evolutionary computation is commonly used instead of standard numerical methods when there is no known derivative of the fitness function or when the fitness function has many local extremes that can trap sequential methods.

There are many different techniques that can be used as part of evolutionary computation, e.g., genetic algorithms, genetic programming, evolution programming, evolutionary strategies, differential evolution, particle swarm optimization, ant colony optimization, and many other swarm intelligence algorithms.

This Special Issue explores how evolutionary computation methods can be utilized to analyze DNA, RNA, and protein sequences, including aspects such as sequence alignment, genomics, and protein structure prediction. We invite submissions on recent advances in the theory and applications of evolutionary computation in ecology, biology, drug design, and biomedical engineering.

We welcome all manuscripts primarily focused on bioscience, medicine, and plant aspects for submission to Life for further processing.

Dr. Leilei Cao
Dr. Shuwei Zhu
Guest Editors

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. Life 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 2600 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 computation
• swarm intelligence
• genetic algorithms
• bio-inspired optimization
• particle swarm optimization