Article
Computer Science, Artificial Intelligence
Aljosa Vodopija, Joerg Stork, Thomas Bartz-Beielstein, Bogdan Filipic
Summary: This study addresses the challenge of optimizing elevator group control policies using constrained multiobjective optimization, employing true multiobjective optimization methods to find approximations for Pareto-optimal solutions. Experimental results demonstrate the scalability of the proposed methodology across various elevator systems and suggest that NSGA-II with the constrained-domination principle is the best performing algorithm for optimizing EGC.
APPLIED SOFT COMPUTING
(2022)
Article
Green & Sustainable Science & Technology
Nuno Costa, Joao Lourenco
Summary: This paper proposes an approach based on Game Theory and the Factors Scaling tool to help users optimize process and product quality characteristics without requiring subjective information. Two case studies provide evidence of the effectiveness of the approach for bi-objective optimization problems.
Article
Computer Science, Information Systems
Omar M. Abo Gabl, Mostafa F. Shaaban, Hatem H. Zeineldin, Mohammed E. Ammar
Summary: The study focuses on the operation of droop-based microgrids, emphasizing the selection and optimization of different droop characteristics to achieve optimal operational objectives. By incorporating a multiobjective mixed-integer nonlinear programming model into an optimal power flow framework, the optimization of droops is achieved while constraining the secondary control operating region to maintain operating conditions within acceptable frequency and voltage ranges.
IEEE SYSTEMS JOURNAL
(2022)
Article
Construction & Building Technology
Sabrine Bougrine, Louis Gosselin
Summary: This paper presents a multi-objective optimization strategy for designing and optimizing ceiling-to-floor space in timber buildings. The framework focuses on reducing assembly thickness and pressure drop in air distribution ductwork by considering both structural and ventilation systems. Results of a case study show that the optimization algorithm performs better in terms of thickness and pressure drop in the configuration where ducts are below the beams, compared to the configuration where ducts pass through the structure.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Engineering, Electrical & Electronic
Mahdi Mosayebi, Seyed Mohammad Sadeghzadeh, Meysam Gheisarnejad, Mohammad Hassan Khooban
Summary: This article presents an intelligent and fast controller for parallel dc-dc converters in islanded dc microgrids in shipboard power systems, aiming to provide fast response, proper voltage regulation, and optimal current sharing. The proposed control approach combines nonlinear I-V droop control, intelligent single-input interval type-2 fuzzy logic controller, and sliding mode control to improve voltage regulation and current-sharing accuracy. By utilizing extended state observer and dynamic consensus algorithm, coordinated control between distributed generators in shipboard power systems is achieved with validated effectiveness through hardware-in-the-loop experiments.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2021)
Article
Engineering, Marine
Demetrious T. Kutzke, James B. Carter, Benjamin T. Hartman
Summary: Digital twins are virtual representations of subsystems within a system, used to model and predict performance and degradation. Selecting subsystems for digital twins is challenging, but a generic process has been established to prioritize system components for increasing system reliability. The process focuses on an unmanned underwater vehicle as a case study for multiobjective optimization.
Article
Multidisciplinary Sciences
Alberto Lovison, Franco Cardin
Summary: This paper proposes an attempt to unify two important lines of thought in applied optimization by integrating the theory of Pontryagin optimal control with the Pareto optimization. The author provides a basic review, defines and unifies the two theories. Additionally, a Pontryagin extension of multiobjective optimization application for the evolution of trees and the related anatomy of the xylems is proposed.
Article
Computer Science, Artificial Intelligence
S. Mohan, Akash Sinha
Summary: This paper proposes a novel method for performing nondominated sorting in a multiobjective optimization problem using a modified directional Bat algorithm. Unlike NSGA-II, the proposed algorithm generates and compares new solutions with all previous solutions, reducing computational time and generating diverse solutions. A unique sorting method using a Nondomination matrix is introduced, which can be easily updated to include new solutions and preserve elitism. Detailed criteria are provided for the selection of new solutions. Experimental results show that the proposed algorithm is competitive and outperforms other algorithms in terms of efficiency and other performance metrics for most benchmark optimization problems. The algorithm also provides a standardized platform for nondomination sorting, applicable to any other metaheuristic algorithm.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Chen Xing, Kang Li, Li Zhang, Zhongbei Tian
Summary: Railway electrification is an important aspect of global transport decarbonization efforts. This article proposes a biobjective robust optimization model to minimize energy consumption and journey time in train operations, considering uncertain train mass associated with passenger load variations. A novel multiobjective optimization algorithm, p-nondominated sorting genetic algorithm-II (NSGA-II), is proposed to handle decision-makers' preferences and improve robustness. Numerical case studies confirm the effectiveness of the proposed algorithm, with up to 40.59% improvement in robustness compared to the original NSGA-II.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2023)
Article
Management
Antoine Kerberenes, Daniel Vanderpooten, Jean-Michel Vanpeperstraete
Summary: This paper studies the algorithmic problem of computing the nondominated subset of the Minkowski sum of finite sets of multidimensional, real-valued points. By exploiting structural properties and introducing two main approaches, the computation can be performed more efficiently, avoiding unnecessary comparisons.
INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH
(2023)
Article
Engineering, Electrical & Electronic
Guifu Du, Chengqian Zhu, Xingxing Jiang, Qiaoyue Li, Weiguo Huang, Jie Shi, Zhongkui Zhu
Summary: This article discusses frequent power supply accidents and excessive energy consumption in dc traction power systems (dc TPSs) of multitrain subway lines. A multiobjective optimization approach is proposed to optimize the traction substation (TSS) converter characteristic and train timetable for safe and economic operation of subway systems. The results show significant reductions in the optimized objectives, namely rail potential (RP), energy consumption, and maximum traction current, indicating improved energy conservation and power supply safety in subway systems.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2023)
Article
Operations Research & Management Science
Bennet Gebken, Sebastian Peitz
Summary: The article presents a method for constructing the objective function vector of a multiobjective optimization problem such that the Pareto critical set contains a given set of data points with prescribed KKT multipliers. By expressing the objectives in a finite-dimensional basis, the problem is transformed into a homogeneous, linear system of equations that can be efficiently solved.
JOURNAL OF GLOBAL OPTIMIZATION
(2021)
Article
Energy & Fuels
Jiancheng Zhang, Xinsheng Wang, Lingyu Ma
Summary: This paper proposes a finite-time distributed control approach to address the issues of reactive power sharing and slow convergence speed in microgrid control. By establishing a hierarchical control structure and introducing an adaptive virtual impedance module and a damping module, accurate control of power and voltage is achieved. Experimental results conducted in the Matlab simulation environment demonstrate the effectiveness of the proposed method.
CSEE JOURNAL OF POWER AND ENERGY SYSTEMS
(2022)
Article
Energy & Fuels
Spyridon Chapaloglou, Babak Abdolmaleki, Elisabetta Tedeschi
Summary: With the increasing penetration of renewable energy and energy storage, converter-connected devices will dominate the next generation of power grids. DC microgrids are considered an attractive alternative due to the transition to non-synchronous grids and loads connected via power electronics. This paper proposes an optimal power sharing scheme using a droop-based decentralized control to achieve voltage regulation, and an integer optimization approach to determine the optimal converter size and location for safe and optimal operation. Time-domain simulations validate the approach's robustness to generator availability uncertainty.
Article
Computer Science, Interdisciplinary Applications
Satya Tamby, Daniel Vanderpooten
Summary: The paper introduces a generic algorithm for computing nondominated points in multiobjective discrete optimization problems, which effectively splits the search space and provides additional information to improve efficiency and outperform previous state-of-the-art algorithms in experiments.
INFORMS JOURNAL ON COMPUTING
(2021)
