Evolutionary Algorithms: Innovations and Applications
A special issue of AI (ISSN 2673-2688).
Deadline for manuscript submissions: closed (15 September 2020) | Viewed by 651
Special Issue Editors
Interests: bio-inspired artificial intelligence; machine learning; multi-agent systems; modeling and simulation; optimization; computations; evolutionary algorithms; neural networks; social simulations; economic simulations; biological simulations; logistics; drones
Interests: artificial intelligence; computer engineering; programming languages; computer science; human-computer interaction
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
For over 50 years, evolutionary computation has been widely used to obtain effective solutions to a large variety of problems which are computationally hard, and for which ad hoc heuristics might not exist. Since the origins of evolutionary algorithms, novel nature-inspired algorithms have been presented and successfully applied to real-world problems.
Although the field is already established and has achieved a mature degree of development, innovations are still presented year after year, either proposing new techniques or improving certain aspects of well-known algorithms. Beyond these theoretical contributions, evolutionary algorithms are used every day to solve new industrial applications and problems.
This Special Issue on Evolutionary Algorithms: Innovations and Applications calls for manuscripts describing theoretical contributions, innovations, advances, and novel applications of evolutionary computation and any biologically-inspired artificial intelligence techniques. We invite researchers to contribute original research papers devoted to advance in this field. Some techniques relevant to the Special Issue include but are not limited to the following:
- Genetic algorithms;
- Evolutionary programming;
- Evolution strategies;
- Genetic programming;
- Particle swarm optimization;
- Ant colony optimization;
- Memetic algorithms;
- Cultural algorithms;
- Hybrid evolutionary algorithms;
- Agent-based evolutionary approaches;
- Novel biologically-inspired algorithms.
Dr. Rafał Dreżewski
Dr. Alejandro Baldominos
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. AI is an international peer-reviewed open access quarterly 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.
Keywords
- Evolutionary computation
- Evolutionary algorithms
- Biologically-inspired
- artificial intelligence
- Metaheuristics
- Genetic algorithms
- Genetic programming
- Evolution strategies
- Evolutionary programming
- Particle swarm optimization
- Ant colony optimization
- Memetic algorithms
- Cultural algorithms
