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Walter Gil-González, Oscar Danilo Montoya and César Leonardo Trujillo-Rodríguez
This research addresses the efficient integration and sizing of flexible alternating current transmission systems (FACTS) in electrical distribution networks via a convex optimization approach. The exact mixed-integer nonlinear programming (MINLP) model ...
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Jiayi Xie, Zhifeng Xie, Ming Zhou and Jun Qiu
The aerodynamic design of rotor blades is challenging, and is crucial for the development of helicopter technology. Previous aerodynamic optimizations that focused only on limited design points find it difficult to balance flight performance across the e...
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Pengfei Jia, Shukai Duan and Jia Yan
Quantum-behaved particle swarm optimization (QPSO), a global optimization method, is a combination of particle swarm optimization (PSO) and quantum mechanics. It has a great performance in the aspects of search ability, convergence speed, solution accura...
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Anton Kolosnitsyn, Oleg Khamisov, Eugene Semenkin and Vladimir Nelyub
We consider the Golden Section and Parabola Methods for solving univariate optimization problems. For multivariate problems, we use these methods as line search procedures in combination with well-known zero-order methods such as the coordinate descent m...
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Frank Klawonn and Georg Hoffmann
Clustering algorithms are usually iterative procedures. In particular, when the clustering algorithm aims to optimise an objective function like in k-means clustering or Gaussian mixture models, iterative heuristics are required due to the high non-linea...
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Chunhe Hu, Yu Xia and Junguo Zhang
Path planning of unmanned aerial vehicles (UAVs) in threatening and adversarial areas is a constrained nonlinear optimal problem which takes a great amount of static and dynamic constraints into account. Quantum-behaved pigeon-inspired optimization (QPIO...
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Chunhe Hu, Yu Xia and Junguo Zhang
Path planning of unmanned aerial vehicles (UAVs) in threatening and adversarial areas is a constrained nonlinear optimal problem which takes a great amount of static and dynamic constraints into account. Quantum-behaved pigeon-inspired optimization (QPIO...
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Juan M. Lujano-Rojas, Rodolfo Dufo-López, Jesús Sergio Artal-Sevil and Eduardo García-Paricio
Assessing the training process of artificial neural networks (ANNs) is vital for enhancing their performance and broadening their applicability. This paper employs the Monte Carlo simulation (MCS) technique, integrated with a stopping criterion, to const...
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Guangyu Li, Yanxin Li, Huayue Chen and Wu Deng
In this paper, a new fractional-order (FO) PI?Dµ controller is designed with the desired gain and phase margin for the automatic rudder of underactuated surface vessels (USVs). The integral order ? and the differential order µ are introduced in the contr...
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José Angel González Quintero,Ismael Lisan Mesa,Johannes Hifikepunje Kandjungulume
Pág. 196 - 204
La reconfiguración de la red de distribución es también parte de la operación de los sistemas eléctricos de potencia. El problema de reconfiguración de la red de distribución, conocido en la literatura como DNRC (Distribution Network Reconfiguration), es...
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Gyula Simon and Ferenc Leitold
A fast Hough transform (HT)-based hyperbolic emitter localization system is proposed to process time difference of arrival (TDOA) measurements. The position-fixing problem is provided for cases where the source is known to be on a given plane (i.e., the ...
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Amrita Das, Eberechi Ichi and Sattar Dorafshan
Ancillary structures are essential for highways? safe operationality but are mainly prone to environmental corrosion. The traditional way of inspecting ancillary structures is manned inspection, which is laborious, time-consuming, and unsafe for inspecto...
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Rong Bao, Yongdong Li, Hongguang Wang and Chunliang Liu
The current design period for various backward wave oscillators (BWOs) is still at least several months. How to find the best structure parameters with an efficient and stable optimization method is a problem facing researchers in both scientific researc...
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Hongrae Park and Sungjun Jung
A cost-effective mooring system design has been emphasized for traditional offshore industry applications and in the design of floating offshore wind turbines. The industry consensus regarding mooring system design is mainly inhibited by previous project...
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Xi Liu and Dan Zhang
Enterprise investment decision-making should not only consider investment profits, but also investment risks, which is a complex nonlinear multi-objective optimization problem. However, traditional investment decisions often only consider profit as a goa...
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Feryel Ouerghi
Pág. 949 - 963
In this paper, we try to explain how exchange politics help emerging economies to escape global financial crisis. We conduct a comparative analysis between two periods: financial crises period of the 1990?s and global financial crisis of 2007-2008. We at...
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Davide Costigliola and Lorenzo Casalino
The development of autonomous guidance control and navigation systems for spacecraft would greatly benefit applications such as debris removals or on-orbit servicing, where human intervention is not practical. Within this context, inspired by Autonomous ...
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Apostolos Papanikolaou, Yan Xing-Kaeding, Johannes Strobel, Aphrodite Kanellopoulou, George Zaraphonitis and Edmund Tolo
The present study focuses on the hydrodynamic hull form optimization of a zero emission, battery driven, fast catamaran vessel. A two-stage optimization procedure was implemented to identify in the first stage (global optimization) the optimum combinatio...
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Yongjun Chen, Wenhao Wu, Pengfei Jiang and Chengpeng Wan
The path planning of unmanned ships in complex waters using heuristics usually suffers from problems such as being prone to fall into the local optimum, slow convergence, and instability in global path planning. Given this, this paper proposes a Self-Ada...
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Atefeh Torkaman, Kambiz Badie, Afshin Salajegheh, Mohammad Hadi Bokaei and Seyed Farshad Fatemi Ardestani
Over the years, detecting stable communities in a complex network has been a major challenge in network science. The global and local structures help to detect communities from different perspectives. However, previous methods based on them suffer from h...
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