Special Issue "Nature Inspired Optimization Algorithms Recent Advances and Applications"
A special issue of Algorithms (ISSN 1999-4893).
Deadline for manuscript submissions: 31 December 2018
Assistant Guest Editor
Dr. Allouani Fouad
Department of Industrial Engineering, University of Khenchela, Algeria
Interests: evolutionary computation; swarm intelligence; intelligent control systems
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 Proposed submissions should be original, unpublished, and should present novel in-depth fundamental research contributions either from a methodological perspective or from an application point of view.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,
Particle Swarm Optimisation,
Weightless Swarm Algorithm.
Bio-inspired (not SI-based) algorithms:
Atmosphere clouds model,
Biogeography based Optimization,
Brain Storm Optimization,
Japanese tree frogs calling,
Eco-inspired evolutionary algorithm,
Flower pollination Algorithm,
Physics and Chemistry based algorithms:
Big bang-big Crunch,
Central force optimization,
Charged system search,
Galaxy-based search algorithm,
Intelligent water drop,
River formation dynamics,
Stochastic diffusion search,
Water cycle algorithm.
Dr. Xiao-Zhi Gao
Dr. Allouani Fouad
Manuscript Submission Information
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