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Symmetry and Asymmetry in Optimization Algorithms and System Control

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

Deadline for manuscript submissions: 30 March 2026 | Viewed by 507

Special Issue Editors


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Guest Editor
School of Mechanical and Power Engineering, Zhengzhou University, Zhengzhou 450001, China
Interests: intelligent and green manufacturing; mathematical modeling and simulation; digital-twin and system control; multi-agent system

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Guest Editor
School of Mechanical Engineering, Southeast University, Nanjing 212000, China
Interests: digital-twin and system control; disassembly modeling and planning; AI optimization algorithm; sparse optimization

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Guest Editor

Special Issue Information

Dear Colleagues,

In contemporary scientific research and technological applications, the concepts of symmetry and asymmetry have emerged as critical elements in optimization algorithms and system control, for example, data encryption, information security, and discrete production systems. Symmetry, a fundamental attribute in nature and mathematics, not only simplifies problem complexity and enhances computational efficiency but also plays a unique role in system control. For example, symmetry can significantly enhance the design of efficient optimization algorithms, such as symmetric cone optimization, sparse optimization, and optimization methods based on symmetric models. By contrast, asymmetry has shown distinct advantages in complex system control, such as asymmetric consensus problems in multi-agent systems and asymmetric rule applications in complex signal control.

This Special Issue, entitled "Symmetry and Asymmetry in Optimization Algorithms and System Control," aims to gather the latest research findings from scholars worldwide to explore the applications of symmetry and asymmetry in optimization algorithms and system control. We invite researchers to submit high-quality original research papers or review articles, focusing on (but not limited to) the following areas:

  • Symmetry-based control methods;
  • Data encryption and information security;
  • Symmetry and asymmetry optimization algorithms;
  • Discrete event modeling and simulation;
  • Metaheuristic optimization algorithm design and applications;
  • Artificial intelligence (AI) in production scheduling;
  • Applications of symmetric properties in system control;
  • Interdisciplinary application in intelligent and green manufacturing.

Dr. Wenjie Wang
Dr. Honghao Zhang
Dr. Gang Yuan
Prof. Dr. Guangdong Tian
Prof. Dr. Zhiwu Li
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. 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

  • control methods
  • data encryption
  • information security
  • optimization algorithms
  • discrete event modeling and simulation
  • production scheduling
  • system control

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Published Papers (1 paper)

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Research

30 pages, 3767 KiB  
Article
Enhancing Manufacturing Efficiency Through Symmetry-Aware Adaptive Ant Colony Optimization Algorithm for Integrated Process Planning and Scheduling
by Abbas Raza, Gang Yuan, Chongxin Wang, Xiaojun Liu and Tianliang Hu
Symmetry 2025, 17(6), 824; https://doi.org/10.3390/sym17060824 - 25 May 2025
Viewed by 366
Abstract
Integrated process planning and scheduling (IPPS) is an intricate and vital issue in smart manufacturing, requiring the coordinated optimization of both process plans and production schedules under multiple resource and precedence constraints. This paper presents a novel optimization framework, symmetry-aware adaptive Ant Colony [...] Read more.
Integrated process planning and scheduling (IPPS) is an intricate and vital issue in smart manufacturing, requiring the coordinated optimization of both process plans and production schedules under multiple resource and precedence constraints. This paper presents a novel optimization framework, symmetry-aware adaptive Ant Colony Optimization (SA-AACO), designed to resolve key limitations in existing metaheuristic approaches. The proposed method introduces three core innovations: (1) a symmetry-awareness mechanism to eliminate redundant solutions arising from symmetrically equivalent configurations; (2) an adaptive pheromone-updating strategy that dynamically balances exploration and exploitation; and (3) a dynamic idle time penalty system, integrated with time window-based machine selection. Benchmarked across ten IPPS scenarios, SA-AACO achieves a superior makespan in 9/10 cases (e.g., 29.1% improvement over CCGA in Problem 1) and executes 18-part processing within 30 min. While MMCO marginally outperforms SA-AACO in Problem 10 (makespan: 427 vs. 483), SA-AACO’s consistent dominance across diverse scales underscores the feasibility of its application in industry to balance quality and efficiency. By unifying symmetry handling and adaptive learning, this work advances the reconfigurability of IPPS solutions for dynamic industrial environments. Full article
(This article belongs to the Special Issue Symmetry and Asymmetry in Optimization Algorithms and System Control)
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