Article
Engineering, Industrial
Xiaofeng Xu, Ziru Lin, Xiang Li, Changjing Shang, Qiang Shen
Summary: This study addresses the refined oil distribution problem with shortages using a multi-objective optimization approach, including a robust optimization model (ROM) to manage uncertainty in demand and a multi-objective particle swarm optimization (MOPSO) algorithm. Results show that these models and algorithms effectively improve station satisfaction, reduce operation costs and overtime penalties, providing possibilities for the efficient distribution of scarce resources.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Engineering, Electrical & Electronic
Can Cui, Wen Tao Li, Xiu Tiao Ye, Yong Qiang Hei, Paolo Rocca, Xiao Wei Shi
Summary: In this article, a novel multibranch encoder-decoder-based artificial neural network (ANN) framework is proposed for synthesizing different radiation patterns. By using different encoder-decoder branches to synthesize different radiation patterns, multiple mask-constrained radiation patterns can be achieved, and common element amplitudes and positions with minimum inter-element spacing control can be obtained, allowing for switching between different radiation patterns through phase-only control. Furthermore, the proposed method considers both ideal synthesis and mutual coupling effects.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2022)
Article
Computer Science, Information Systems
Yves Matanga, Yanxia Sun, Zenghui Wang
Summary: This paper proposes a hybrid algorithm that combines branch and bound with particle swarm optimization to improve the global convergence speed of a deterministic optimization method. The experimental results show that the algorithm outperforms others in terms of convergence speed and solution accuracy.
Article
Computer Science, Interdisciplinary Applications
Conradus van Mierlo, Augustin Persoons, Matthias G. R. Faes, David Moens
Summary: Design optimization is a common practice in engineering to find the optimal combination of design parameters. However, some parameters may only be known with uncertainty, leading to the concept of robustness. This paper introduces a formulation of the robust optimization problem under interval uncertainty and proposes a new approach using adaptive Gaussian processes to solve it efficiently.
COMPUTERS & STRUCTURES
(2023)
Article
Energy & Fuels
Yichen Zhang, Chen Chen, Tianqi Hong, Bai Cui, Zhe Xu, Bo Chen, Feng Qiu
Summary: Integration of grid supportive modes in inverter-based resources can enhance the frequency response of renewable-rich microgrids. To ensure frequency trajectory constraints under predefined disturbances, synthesis of grid supportive modes is challenging yet crucial. A numerical optimal control (NOC)-based control synthesis methodology is proposed to address this challenge. Linearized models are employed in control design, with linearization-induced errors analyzed and represented as interval uncertainties. The proposed control is validated on a modified 33-node microgrid, demonstrating its effectiveness and the significance of considering linearization-induced uncertainty.
Article
Chemistry, Analytical
Wanhan Cai, Lixia Ji, Chenglin Guo, Ke Mei, Hao Zeng
Summary: This article introduces a novel optimization algorithm for large array thinning, based on DPSO and integrated with various search strategies. It utilizes a global learning strategy and a local search strategy to improve optimization performance at different stages, and the effectiveness and robustness of the algorithm are verified through several examples.
Article
Chemistry, Analytical
Mohammed Eman, Tarek M. Mahmoud, Mostafa M. Ibrahim, Tarek Abd El-Hafeez
Summary: This paper proposes a novel method for masked face recognition, which combines deep-learning-based mask detection, landmark and oval face detection, and robust principal component analysis (RPCA). Experimental results show that our proposed method outperforms existing methods in terms of accuracy and robustness to occlusion. The proposed method achieves a recognition rate of 97%, which is significantly higher than the state-of-the-art methods. Our proposed method represents a significant improvement over existing methods for masked face recognition, providing high accuracy and robustness to occlusion.
Article
Energy & Fuels
Farhat Mahmood, Rajesh Govindan, Amine Bermak, David Yang, Tareq Al-Ansari
Summary: The greenhouse microclimate is complex and controlling temperature requires significant resources due to inefficient design. Model predictive control is a promising strategy, but it does not consider inaccuracies and uncertainties. This study proposes a data-driven robust model predictive control framework for greenhouse temperature control and energy utilization assessment in the presence of uncertainties.
Article
Chemistry, Multidisciplinary
Peng Zheng, Peng Zhang, Ming Wang, Jie Zhang
Summary: This study proposed a framework using data-driven methodologies to optimize the robustness of assembly job shop scheduling problem (AJSSP). Considering the uncertainty of process setup time and processing time, the study utilized kernel density estimation method and particle swarm optimization (PSO) algorithm for optimizing production schedule, introducing concepts of confidence level and interval theory.
APPLIED SCIENCES-BASEL
(2021)
Article
Computer Science, Software Engineering
Xu Guo, Xiaoyu Song, Jian-tao Zhou
Summary: This paper presents a synergic method based on QPSO algorithm for CCAG problems, which strengthens the performance by introducing three auxiliary strategies. Experimental results show that the QPIO algorithm is competitive in solving the CCAG problem.
Article
Computer Science, Artificial Intelligence
Alexander Brown, James Montgomery, Saurabh Garg
Summary: Automated bioacoustics analysis is increasingly used to describe environmental phenomena, and many algorithms have been proposed within this research area. This study focuses on constructing bioacoustics workflows by searching and ordering combinations of tasks to determine the most accurate output under user-defined time constraints. The research found that a surrogate model-based search method can quickly find effective workflows with a low number of searches, but the effectiveness of workflows varies depending on the scenarios and recordings used.
APPLIED SOFT COMPUTING
(2021)
Article
Engineering, Multidisciplinary
Heba S. Dawood, Heba A. El-Khobby, Mustafa M. Abd Elnaby, Amr H. Hussein
Summary: The paper introduces new distributed beamforming techniques based on an optimized elliptical arc geometry (EAG) for back lobe cancellation of linear antenna arrays (LAA). Different techniques utilizing single or double ellipses are proposed for minimizing back lobes while keeping transmission energies constant. The proposed DE-EAG-WOE technique further optimizes both transmission energies and positions for back lobe minimization.
ALEXANDRIA ENGINEERING JOURNAL
(2022)
Article
Automation & Control Systems
Gilberto Rivera, Raul Porras, J. Patricia Sanchez-Solis, Rogelio Florencia, Vicente Garcia
Summary: This paper introduces a novel metaheuristic called Outranking-based Particle Swarm Optimization (O-PSO) for addressing the multi-objective Unrelated Parallel Machine Scheduling Problem. O-PSO is an optimization algorithm that combines particle swarm optimization with the preferences of the Decision Maker (DM) expressed in a fuzzy relational system based on ELECTRE III. Unlike other multi-objective metaheuristics, O-PSO focuses on finding the Region of Interest (RoI) instead of approximating a sample of the complete Pareto frontier. The efficiency of O-PSO is validated through experiments on synthetic instances and a real-world case study, showing its capability of generating high-quality solutions and supporting multicriteria decision analysis.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Article
Computer Science, Information Systems
Hsuan-Yu Tseng, Pao-Hsien Chu, Hao-Chun Lu, Ming-Jyh Tsai
Summary: Particle swarm optimization (PSO) is a popular stochastic approach for solving practical optimal problems due to its effective performance and few hyperparameters. This study proposes easy particles inspired by lazy ant behavior to diversify moving directions and improve the exploration abilities of all referenced PSO-based algorithms in solving nonlinear constrained optimization (NCO) problems to reduce premature convergence.
Article
Engineering, Aerospace
Jose D. Hoyos, Jesus H. Jimenez, Camilo Echavarria, Juan P. Alvarado, German Urrea
Summary: An aero-structural algorithm is developed in this study to reduce the energy consumption of a propeller-driven aircraft. The algorithm combines a propeller design method with Particle Swarm Optimization and considers a wide range of propeller parameters. The propeller performance is predicted using Blade Element Momentum Theory and corrected for various factors. The algorithm is validated through wind tunnel tests and shows improved thrust and efficiency compared to a commercial propeller.
Article
Engineering, Electrical & Electronic
Marco Salucci, Arianna Benoni, Giacomo Oliveri, Paolo Rocca, Baozhu Li, Andrea Massa
Summary: This article focuses on the electromagnetic planning of static and passive electromagnetic skins in complex urban scenarios with the aim of enhancing the electromagnetic coverage of base-station antennas. The study proposes an innovative system-by-design-based method to optimize wireless links of arbitrary depth implemented through multiple cascaded reflections. Numerical analysis of real-world scenarios is conducted to evaluate the capabilities and potential of the smart electromagnetic environment (SEME).
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2023)
Article
Engineering, Electrical & Electronic
Giacomo Oliveri, Francesco Zardi, Paolo Rocca, Marco Salucci, Andrea Massa
Summary: An innovative approach based on an inverse source formulation is introduced to design constrained static-passive electromagnetic skins that comply with complex wireless coverage requirements and urban installation constraints. The proposed method leverages the ill-posedness/nonuniqueness of the problem to derive a closed-form expression for the synthesis of SP-EMSs. Results from numerical experiments demonstrate the effectiveness and computational efficiency of the proposed method as a suitable tool for implementing smart electromagnetic environments (SEME).
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2023)
Article
Engineering, Electrical & Electronic
Nicola Anselmi, Luca Tosi, Paolo Rocca, Giovanni Toso, Andrea Massa
Summary: This study focuses on the design of irregular planar phased arrays with a modular architecture. It utilizes rep-tiles, self-replicating tile shapes, to generate array layouts consisting of tiles with different sizes but equal shapes. The use of deterministic optimization allows for the creation of an optimal tradeoff between complexity, costs, and the desired radiated power pattern while ensuring complete overlay of the array aperture. Results demonstrate the effectiveness of this approach in handling large-size array apertures compared to existing tiling techniques.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2023)
Article
Engineering, Electrical & Electronic
Nicola Anselmi, Paolo Rocca, Andrea Massa
Summary: This paper analyzes the tolerance of reconfigurable monopulse linear arrays on uncertainties of the excitation amplitudes. It introduces a method based on interval arithmetic (IA) rules and computes analytic bounds for the sum and difference power patterns. The paper proposes an innovative strategy for worst-case performance analysis when dealing with tolerances on different parts of the beam forming network, utilizing the reliability and computational efficiency of the IA-based formulation.
JOURNAL OF ELECTROMAGNETIC WAVES AND APPLICATIONS
(2023)
Article
Chemistry, Analytical
Ruibo Li, Peng Li, Paolo Rocca, Aaron Angel Salas Sanchez, Liwei Song, Xinghua Li, Wanye Xu, Zijiao Fan
Summary: In this work, a low-profile, wideband, and high-gain antenna array based on a novel double-H-shaped slot microstrip patch radiating element was proposed. The array showed stability against high temperature variations. The antenna element operated in the frequency range of 12 GHz to 18.25 GHz, with a 41.3% fractional bandwidth (FBW) and a peak gain of 10.2 dBi. The fabricated 4x4 planar array, equipped with a flexible 1 to 16 power divider, generated a pattern with a peak gain of 19.1 dBi at 15.5 GHz. Experimental results demonstrated that the array performance remained stable in a wide temperature range, from -50 degrees C to 150 degrees C.
Article
Engineering, Electrical & Electronic
M. Salucci, G. Oliveri, M. A. Hannan, A. Massa
Summary: This paper addresses the issue of mutual coupling reduction in airborne co-sited blade antennas, and proposes an innovative coplanar printed isolating device to suppress interference between nearby radiators. Through the design of a system working in the aircraft L-band, it is proven that the proposed approach can achieve high isolation over a wide fractional bandwidth without significantly impacting radiation performance.
IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Guangda Ding, Nicola Anselmi, Wanye Xu, Peng Li, Paolo Rocca
Summary: This paper proposes a method for the optimal synthesis of linear phased arrays considering calibration errors and mutual coupling. By utilizing circular interval analysis (CIA) and convex programming (CP) optimization, the lower bound of the power pattern main beam peak is maximized, while the sidelobes are constrained by an arbitrary upper-bound mask. Numerical results are compared with Monte Carlo and full-wave simulations to validate the reliability and effectiveness of the proposed CIA-CP methodology.
IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS
(2023)
Article
Engineering, Electrical & Electronic
G. Oliveri, M. Salucci, A. Massa
Summary: A generalized formulation is proposed for the analysis of electromagnetic skins (EMSs) in wireless communications. A unified method for designing anomalous-reflecting and focusing EMSs is presented based on this framework. Numerical experiments and full-wave HFSS simulations are conducted to validate the proposed analysis/synthesis tools.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2023)
Article
Engineering, Electrical & Electronic
Giacomo Oliveri, Marco Salucci, Andrea Massa
Summary: This paper assesses the ability of passive flat patterned electromagnetic skins (EMSs) to overcome the asymptotic limit of total path attenuation (TPA) in non-line-of-sight (NLOS) point-to-point fixed wireless access applications. The closed-form expressions for achievable TPA in EMS-powered NLOS links are stated for the first time, and the condition on the panel size of EMS screens to surpass the performance of flat passive conductive screens (PCSs) with the same aperture is derived and numerically validated.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2023)
Article
Engineering, Electrical & Electronic
Yu Zhong, Francesco Zardi, Marco Salucci, Giacomo Oliveri, Andrea Massa
Summary: In this article, a novel inversion strategy is proposed to solve inverse scattering problems with inhomogeneous backgrounds. The strategy combines the multiscaling regularization scheme and the difference contraction integral equation formulation, which mitigates nonlinearity and ill-posedness to obtain reliable high-resolution reconstructions.
IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES
(2023)
Proceedings Paper
Engineering, Electrical & Electronic
Marco Salucci, Giacomo Oliveri, Paolo Rocca, Lorenzo Poli, Arianna Benoni, Pietro Da Ru, Francesco Zardi, Andrea Massa
Summary: The Smart ElectroMagnetic Environment (SEME) is a groundbreaking paradigm that will be a fundamental aspect in the design of next generation wireless communication systems. It introduces the idea that the environment should be considered as an additional degree-of-freedom (DoF) to enhance the overall Quality-of-Service (QoS) instead of a hindrance to the propagation of electromagnetic (EM) waves. This article provides an overview of the foundational concepts and ideas of SEME, examines recent implementations, and explores possible future trends in this emerging research area.
2023 17TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION, EUCAP
(2023)
Proceedings Paper
Engineering, Electrical & Electronic
Luca Tosi, Nicola Anselmi, Paolo Rocca, Andrea Massa
Summary: This study addresses and reformulates the analysis and synthesis of phased array (PA) antennas in a Quantum Computing (QC) framework by adopting the Quantum Fourier Transform (QFT) as an alternative to the classical discrete Fourier transform (DFT). Numerical results from simulation of quantum devices are also provided to support the proposed methodology.
2023 17TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION, EUCAP
(2023)
Proceedings Paper
Engineering, Electrical & Electronic
Giacomo Oliveri, Arianna Benoni, Paolo Rocca, Marco Salucci, Andrea Massa
Summary: The concept of Reconfigurable Intelligent Surfaces (RISs) has garnered significant interest in academia and industry due to their potential use in 6G networks. However, there are still important challenges in terms of technology and methodology that need to be addressed to effectively deploy and utilize RISs, particularly in integrating them into existing wireless environments. This work aims to present the recent advances and emerging solution strategies for RIS configuration and adaptation in next generation networks.
2023 17TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION, EUCAP
(2023)
Proceedings Paper
Engineering, Electrical & Electronic
Giacomo Oliveri, Paolo Rocca, Marco Salucci, Andrea Massa
Summary: The availability of inexpensive phased array technologies capable of supporting wide scanning angles with stable performance is of increasing interest. However, popular planar phased arrays usually suffer from scan blindness and limitations to the field-of-view caused by the inter-element mutual coupling. Passive static electromagnetic skins employed as artificial proximity objects (APOs) have recently gathered attention for stabilizing the active element impedance in wide-angle scanning arrays.
2023 17TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION, EUCAP
(2023)
Proceedings Paper
Engineering, Electrical & Electronic
Giacomo Oliveri, Lorenzo Poli, Paolo Rocca, Marco Salucci, Francesco Zardi, Andrea Massa
Summary: Reconfigurable passive electromagnetic skins (RP-EMSs) are essential for implementing the Smart EM Environment paradigm in future wireless communications. However, there are still challenges in the design, optimization, control, and implementation of cost-effective and efficient RP-EMSs. This work reviews the recent advances and trends in this field.
2023 17TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION, EUCAP
(2023)
