Special Issue "Selected Papers from BDAI 2022"
Deadline for manuscript submissions: 31 December 2022.
Interests: swarm intelligence; natural computing; evolutionary computation
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One of the ever-present grand challenges and central goals of computer science is to understand the world around us in terms of information processing. Each time progress is made in achieving this goal, both the world around us and computer science benefit.
Nature is a dominating part of the world around us, and one way to understand it in terms of information processing is to study computing taking place in nature. Natural computing is concerned with this type of computing and with its main benefit for computer science, viz., human-designed computing inspired by nature.
By its very nature, the science of natural computing is genuinely interdisciplinary; therefore, natural computing forms a bridge between natural sciences and computer science. In this way, natural computing elevates computer science to an even more prominent role in the broad rainbow of scientific disciplines.
Human-designed computing inspired by nature is based on the use of paradigms, principles, and mechanisms underlying natural systems. Some disciplines of human-designed computing are relatively old and are well established by now. Well-known examples of such disciplines are evolutionary computing and neural computing. Evolutionary algorithms are based on the concepts of mutation, recombination, and natural selection from the theory of evolution, while neural networks are based on concepts originating in the study of the highly interconnected neural structures in the brain and nervous system. On the other hand, molecular computing and quantum computing are younger disciplines of natural computing: molecular computing is based on paradigms from molecular biology, while quantum computing is based on quantum physics and exploits quantum parallelism.
Natural computing refers to computational processes observed in nature, and human-designed computing inspired by nature. When complex natural phenomena are analyzed in terms of computational processes, our understanding of both the nature and essence of computation is enhanced. Characteristic for human-designed computing inspired by nature is the metaphorical use of concepts, principles, and mechanisms underlying natural systems. Natural computing includes evolutionary algorithms, neural networks, molecular computing, and quantum computing.
The purpose of this Special Issue is to gather a collection of articles reflecting the latest developments in different fields of evolutionary algorithms, neural networks, molecular computing, quantum computing and artificial immune systems, and others.
Prof. Dr. Gaige Wang
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 papers will be 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. Applied Sciences is an international peer-reviewed open access semimonthly 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 2300 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.
- natural computing
- evolutionary algorithms
- swarm intelligence
- neural networks
- molecular computing
- quantum computing
- artificial immune systems