Symmetry in Optimization and Control with Real World Applications II

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

Deadline for manuscript submissions: closed (30 November 2024) | Viewed by 3270

Special Issue Editor


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Guest Editor
Faculty of Sciences, Applied Mathematics Department, Holon Institute of Technology, Holon, Israel
Interests: mathematical theory; algorithms systems of linear and nonlinear equations; inequalities optimization theory

Special Issue Information

Dear Colleagues,

Following the success of the Special Issue titled "Symmetry in Optimization and Control with Real World Applications" in Symmetry, it is my pleasure to return as the Guest Editor for a second installment.

The purpose of this Special Issue is to publish a selection of original, high-quality papers presenting the latest novel research achievements in optimization and control with applications to vital real-world engineering problems involving complex systems. It is expected that the solution methods will be based on advanced theories, methodologies, and techniques related to optimization and control. Submitted papers are also expected to be within the general scope of the journal.

The focus of this Special Issue is on the advancement of mathematically rigorous computational techniques, engineering mathematics, and real-world engineering applications in the following areas:

  • Dynamical systems and control;
  • Optimization and optimal control;
  • Inverse problems;
  • The modeling and optimization of complex systems.

Prof. Dr. Aviv Gibali
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

  • optimization
  • optimal control
  • dynamical system
  • complex system
  • symmetry

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Published Papers (2 papers)

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Research

16 pages, 358 KiB  
Article
Mixed Marginal Rates of Substitution for Analyzing Banking Efficiency Using a Linear Programming Approach
by Simin Masrouri, Homeira Amirmohammadi and Arman Dabiri
Symmetry 2024, 16(12), 1607; https://doi.org/10.3390/sym16121607 - 2 Dec 2024
Viewed by 835
Abstract
This paper introduces a Mixed Marginal Rates of Substitution (MMRS) approach for analyzing banking efficiency within a linear programming framework. For this purpose, a linear programming model is proposed that efficiently calculates Marginal Rates, revealing how partial input changes affect multiple outputs simultaneously. [...] Read more.
This paper introduces a Mixed Marginal Rates of Substitution (MMRS) approach for analyzing banking efficiency within a linear programming framework. For this purpose, a linear programming model is proposed that efficiently calculates Marginal Rates, revealing how partial input changes affect multiple outputs simultaneously. Applying this methodology to data from the Taiwanese banking system spanning 2010 to 2020 reveals diverse efficiency patterns across financial institutions. The analysis demonstrates that while increased financial inputs generally improve outputs, individual banks exhibit varying sensitivity to these changes. Some institutions were resilient to input fluctuations, while others showed marked sensitivity, particularly in loans and investments. As a result, the proposed MMRS framework provides a robust tool for analyzing indicator relationships within efficient units, offering valuable insights for tailored management strategies and policy formulation in the banking sector. The findings emphasize the importance of institution-specific approaches to enhancing banking efficiency and managing risk effectively, contributing to a more nuanced understanding of economic outcomes in the financial industry. Additionally, symmetry concepts in input–output relationships are suggested as a potential area for future research, offering a possible framework for identifying balanced efficiency patterns among banks. Full article
(This article belongs to the Special Issue Symmetry in Optimization and Control with Real World Applications II)
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24 pages, 3763 KiB  
Article
Intelligent Fuzzy Traffic Signal Control System for Complex Intersections Using Fuzzy Rule Base Reduction
by Tamrat D. Chala and László T. Kóczy
Symmetry 2024, 16(9), 1177; https://doi.org/10.3390/sym16091177 - 9 Sep 2024
Cited by 3 | Viewed by 2042
Abstract
In this study, the concept of symmetry is employed to implement an intelligent fuzzy traffic signal control system for complex intersections. This approach suggests that the implementation of reduced fuzzy rules through the reduction method, without compromising the performance of the original fuzzy [...] Read more.
In this study, the concept of symmetry is employed to implement an intelligent fuzzy traffic signal control system for complex intersections. This approach suggests that the implementation of reduced fuzzy rules through the reduction method, without compromising the performance of the original fuzzy rule base, constitutes a symmetrical approach. In recent decades, urban and city traffic congestion has become a significant issue because of the time lost as a result of heavy traffic, which negatively affects economic productivity and efficiency and leads to energy loss, and also because of the heavy environmental pollution effect. In addition, traffic congestion prevents an immediate response by the ambulance, police, and fire brigades to urgent events. To mitigate these problems, a three-stage intelligent and flexible fuzzy traffic control system for complex intersections, using a novel hybrid reduction approach was proposed. The three-stage fuzzy traffic control system performs four primary functions. The first stage prioritizes emergency car(s) and identifies the degree of urgency of the traffic conditions in the red-light phase. The second stage guarantees a fair distribution of green-light durations even for periods of extremely unbalanced traffic with long vehicle queues in certain directions and, especially, when heavy traffic is loaded for an extended period in one direction and the short vehicle queues in the conflicting directions require passing in a reasonable time. The third stage adjusts the green-light time to the traffic conditions, to the appearance of one or more emergency car(s), and to the overall waiting times of the other vehicles by using a fuzzy inference engine. The original complete fuzzy rule base set up by listing all possible input combinations was reduced using a novel hybrid reduction algorithm for fuzzy rule bases, which resulted in a significant reduction of the original base, namely, by 72.1%. The proposed novel approach, including the model and the hybrid reduction algorithm, were implemented and simulated using Python 3.9 and SUMO (version 1.14.1). Subsequently, the obtained fuzzy rule system was compared in terms of running time and efficiency with a traffic control system using the original fuzzy rules. The results showed that the reduced fuzzy rule base had better results in terms of the average waiting time, calculated fuel consumption, and CO2 emission. Furthermore, the fuzzy traffic control system with reduced fuzzy rules performed better as it required less execution time and thus lower computational costs. Summarizing the above results, it may be stated that this new approach to intersection traffic light control is a practical solution for managing complex traffic conditions at lower computational costs. Full article
(This article belongs to the Special Issue Symmetry in Optimization and Control with Real World Applications II)
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