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Symmetry
Special Issues
Applications of Symmetry/Asymmetry in Artificial Intelligence and Deep Metaheuristics
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Applications of Symmetry/Asymmetry in Artificial Intelligence and Deep Metaheuristics

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".

Deadline for manuscript submissions: 30 June 2026 | Viewed by 2999

Special Issue Editor

Prof. Dr. Peng-Yeng Yin

E-Mail Website
Guest Editor
Information Technology and Management Program, Ming Chuan University, Taoyuan City 333, Taiwan
Interests: artificial intelligence; evolutionary computation; wind and solar energy; metaheuristics; pattern recognition; image processing; machine learning; software engineering; computational intelligence; operations research
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

“Symmetry” occurs in almost every discipline related to information technology and management. Its elements appear in many applications, including object recognition, engineering design, music composition, and market prediction. By using the properties of “symmetry”, intelligent systems such as the Internet of Things (IoT), Cyber–Physical Systems (CPSs), artificial intelligence (AI), and deep metaheuristics can be made more efficient and effective. There has been considerable innovation in industrial technology and competitiveness between businesses in the last decade. This is partly due to the emergence of new technologies such as IoT, CPS, and deep learning, as well as self-media and the circular economy, and partly due to international trade protection, which constrains the development of global supply chains and regional free trade agreements. The aim of this Special Issue is to highlight important trends in the use of symmetry/asymmetry in artificial intelligence and deep metaheuristics. We welcome original research and review articles on topics including (but not limited to) the following:

  • Symmetry/asymmetry in artificial intelligence;
  • Symmetry/asymmetry in deep metaheuristics;
  • Symmetry/asymmetry in mathematical programming;
  • Genuine symmetry/asymmetry algorithms;
  • IoT, CPS, AI, big data, and data mining to solve practical problems;
  • Artificial intelligence and deep metaheuristics in emerging industry;
  • Artificial intelligence and deep metaheuristics in the circular economy;
  • Artificial intelligence and deep metaheuristics in renewable energy;
  • Artificial intelligence and deep metaheuristics in sustainable development;
  • Artificial intelligence and deep metaheuristics in business, finance, economy, and tourism.

Prof. Dr. Peng-Yeng Yin
Guest Editor

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. Symmetry 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 2400 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

  • symmetry
  • asymmetry
  • Internet of Things (IoT)
  • big data
  • artificial intelligence
  • metaheuristic

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Published Papers (1 paper)

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Research

39 pages, 6764 KiB  
Article
Navigation Route Planning for Tourism Intelligent Connected Vehicle Based on the Symmetrical Spatial Clustering and Improved Fruit Fly Optimization Algorithm
by Xiao Zhou, Jian Peng, Bowei Wen and Mingzhan Su
Symmetry 2024, 16(2), 159; https://doi.org/10.3390/sym16020159 - 29 Jan 2024
Cited by 4 | Viewed by 1821
Abstract
The intelligent connected vehicle (ICV) decision-making system needs to match tourist interests and search for the route with the lowest travel cost when recommending POIs (Points of Interest) and navigation tour routes. In response to this research objective, we construct a navigation route-planning [...] Read more.
The intelligent connected vehicle (ICV) decision-making system needs to match tourist interests and search for the route with the lowest travel cost when recommending POIs (Points of Interest) and navigation tour routes. In response to this research objective, we construct a navigation route-planning model for tourism intelligent connected vehicles based on symmetrical spatial clustering and improved fruit fly optimization algorithm. Firstly, we construct the POI feature attribute clustering algorithm based on the spatial decision forest to achieve the optimal POI recommendation. Secondly, we construct the POI spatial attribute clustering algorithm based on the SA-AGNES (Spatial Accessibility-Agglomerative Nesting) to achieve the spatial modeling between POIs and ICV clusters. On the basis of POI feature attribute and spatial attribute, we construct the POI recommendation algorithm for the ICV navigation routes based on the attribute weights. On the basis of the recommended POIs, we construct the tourism ICV navigation route-planning model based on the improved fruit fly optimization algorithm. Experiments prove that the proposed algorithm can accurately output POIs that match tourists’ interests and needs, and find out the ICV navigation route with the lowest travel cost. Compared with the commonly used map route-planning methods and traditional route-searching algorithms, the proposed algorithm can reduce the travel costs by 15.22% at most, which can also effectively reduce the energy consumption of the ICV system, and improve the efficiency of sight-seeing and traveling for tourists. Full article
(This article belongs to the Special Issue Applications of Symmetry/Asymmetry in Artificial Intelligence and Deep Metaheuristics)
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