Nature Inspired Optimization Algorithms Recent Advances and Applications
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Evolutionary Algorithms and Machine Learning".
Deadline for manuscript submissions: closed (31 December 2018) | Viewed by 36183
Special Issue Editors
Interests: nature-inspired computing methods
Special Issues, Collections and Topics in MDPI journals
Interests: evolutionary computation; swarm intelligence; intelligent control systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Nature-inspired optimization algorithms represent a very important research field in computational intelligence, soft computing, and optimization in a general sense. For this purpose, we observe clearly that they attract outstanding interest from many researchers around the world. Indeed, past and ongoing research in this field cover an important group of subjects, from basic research to a large number of real-world applications in almost all areas, which include science, engineering, industry, economics, and business. The creation of many new algorithms based on natural processes like natural selection, food foraging, physical laws, group movements and other natural models have made this field of research very rich. These algorithms offer very powerful tools to handle these problems, which cannot be solved using traditional and classical mathematical methods, because they not require any mathematical conditions to be satisfied. It should be noted that a general look leads to the finding that nature-inspired algorithms can be generally classified into two main categories: Evolutionary algorithms and swarm intelligence. There are a few algorithms however that do not fall in any of these categories, e.g., gravitational search, harmony search, etc.
The principal aim of this Special Issue is to assemble state-of-the-art contributions on the latest research and development, up-to-date issues, and challenges in the field of nature-inspired optimization algorithms. Proposed submissions should be original, unpublished, and should present novel in-depth fundamental research contributions either from a methodological perspective or from an application point of view. Topics of interest include, but are not only limited to:
Swarm Intelligence (SI)-based algorithms:
Ant Colony Optimization,
Ant Lion Optimization,
Artificial Bee Colony,
Bacterial foraging,
Bacterial-GA Foraging,
Bat Algorithm,
BeeHive,
Bumblebees,
Cat swarm,
Consultant-guided search
Cuckoo Search,
Krill Herd,
Monkey search,
Particle Swarm Optimisation,
Weightless Swarm Algorithm.
Bio-inspired (not SI-based) algorithms:
Atmosphere clouds model,
Biogeography based Optimization,
Brain Storm Optimization,
Differential Evolution,
Dolphin echolocation,
Japanese tree frogs calling,
Eco-inspired evolutionary algorithm,
Egyptian Vulture,
Fish-school Search,
Flower pollination Algorithm,
Firefly Algorithms,
Gene expression.
Physics and Chemistry based algorithms:
Big bang-big Crunch,
Black hole,
Central force optimization,
Charged system search,
Electro-magnetism optimization,
Galaxy-based search algorithm,
Gravitational search,
Harmony Search,
Intelligent water drop,
River formation dynamics,
Self-propelled particles,
Simulated Annealing,
Stochastic diffusion search,
Spiral optimization,
Water cycle algorithm.
Dr. Xiao-Zhi Gao
Dr. Allouani Fouad
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. 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.
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.
