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Yi?an Wang, Zhe Wu and Dong Ni
Optimizing the heliostat field aiming strategy is crucial for maximizing thermal power production in solar power tower (SPT) plants while adhering to operational constraints. Although existing approaches can yield highly optimal solutions, their consider...
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Jiayu Wen, Yanguo Song, Huanjin Wang, Dong Han and Changfa Yang
Neural networks have been widely used as compensational models for aircraft control designs and as surrogate models for other optimizations. In the case of tiltrotor aircraft, the total number of aircraft states and controls is much greater than that of ...
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Gangxuan Hu, Guohui Zhang, Yanyan Li, Xun Wang, Jiping An, Zhibin Zhang and Xinhong Li
The modular self-reconfigurable satellites (MSRSs) are a new type of satellite that can transform configuration in orbit autonomously. The inverse kinematics of MSRS is difficult to solve by conventional methods due to the hyper-redundant degrees of free...
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Mohammad H. Nadimi-Shahraki, Ebrahim Moeini, Shokooh Taghian and Seyedali Mirjalili
In this paper, a discrete moth?flame optimization algorithm for community detection (DMFO-CD) is proposed. The representation of solution vectors, initialization, and movement strategy of the continuous moth?flame optimization are purposely adapted in DM...
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Amr Mohamed AbdelAziz, Taysir Hassan A. Soliman, Kareem Kamal A. Ghany and Adel Abu El-Magd Sewisy
Multi-Objective Problems (MOPs) are common real-life problems that can be found in different fields, such as bioinformatics and scheduling. Pareto Optimization (PO) is a popular method for solving MOPs, which optimizes all objectives simultaneously. It p...
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Ying Sun, Lin Lv, Peng Lee and Yunkai Cai
In-cylinder pressure is one of the most important references in the process of diesel engine performance optimization. In order to acquire effective in-cylinder pressure value, many physical tests are required. The cost of physical testing is high; vario...
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Jamil Al-Sawwa and Mohammad Almseidin
With the rapid development of internet technology, the amount of collected or generated data has increased exponentially. The sheer volume, complexity, and unbalanced nature of this data pose a challenge to the scientific community to extract meaningful ...
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Willa Ariela Syafruddin, Rio Mukhtarom Paweroi and Mario Köppen
Since nature is an excellent source of inspiration for optimization methods, many optimization algorithms have been proposed, are inspired by nature, and are modified to solve various optimization problems. This paper uses metaheuristics in a new field i...
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Gebrail Bekdas, Melda Yucel and Sinan Melih Nigdeli
Truss structures are one of the major civil engineering members studied in the optimization research area. In this area, various optimization applications such as topology, size, cost, weight, material usage, etc., can be conducted for different truss st...
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Nebojsa Bacanin, Timea Bezdan, Eva Tuba, Ivana Strumberger and Milan Tuba
Computer vision is one of the most frontier technologies in computer science. It is used to build artificial systems to extract valuable information from images and has a broad range of applications in various areas such as agriculture, business, and hea...
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Betania Hernández-Ocaña, José Hernández-Torruco, Oscar Chávez-Bosquez, Maria B. Calva-Yáñez and Edgar A. Portilla-Flores
An Isolated Microgrid (IMG) is an electrical distribution network combined with modern information technologies aiming at reducing costs and pollution to the environment. In this article, we implement the Bacterial Foraging Optimization Algorithm (BFOA) ...
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Ivana Strumberger, Nebojsa Bacanin , Milan Tuba and Eva Tuba
The cloud computing paradigm, as a novel computing resources delivery platform, has significantly impacted society with the concept of on-demand resource utilization through virtualization technology. Virtualization enables the usage of available physica...
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Ricardo Paupitz Barbosa dos Santos, Carlos Humberto Martins, Fábio Lúcio Santos
Pág. 21 - 25
Real ants and bees are considered social insects, which present some remarkable characteristics that can be used, as inspiration, to solve complex optimization problems. This field of study is known as swarm intelligence. Therefore, this paper presents a...
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Liliya A. Demidova and Artyom V. Gorchakov
Inspired by biological systems, swarm intelligence algorithms are widely used to solve multimodal optimization problems. In this study, we consider the hybridization problem of an algorithm based on the collective behavior of fish schools. The algorithm ...
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Mohamed Y. Abdel-Kader, Ahmed M. Ebid, Kennedy C. Onyelowe, Ibrahim M. Mahdi and Ibrahim Abdel-Rasheed
Infrastructure projects are usually complicated, expensive, long-term mega projects; accordingly, they are the type of projects that most need optimization in the design, construction and operation stages. A great deal of earlier research was carried out...
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Vasiliy V. Grigoriev, Oleg Iliev and Petr N. Vabishchevich
Parameter identification is an important research topic with a variety of applications in industrial and environmental problems. Usually, a functional has to be minimized in conjunction with parameter identification; thus, there is a certain similarity b...
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Lukasz Sadowski, Mehdi Nikoo and Mohammad Nikoo
The article presents the hybrid metaheuristic-neural assessment of the pull-off adhesion in existing multi-layer cement composites using artificial neural networks (ANNs) and the imperialist competitive algorithm (ICA). The ICA is a metaheuristic algorit...
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Renwu Yan, Yunzhang Liu and Ning Yu
Inspired by the migration and reproduction of species in nature to explore suitable habitats, this paper proposed a new swarm intelligence algorithm called the Migration and Reproduction Algorithm (MARA). This new algorithm discusses how to transform the...
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René Lozi
Since its original publication in 1978, Lozi?s chaotic map has been thoroughly explored and continues to be. Hundreds of publications have analyzed its particular structure and applied its properties in many fields (e.g., improvement of physical devices,...
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Prasanth Rao Adiraju, Voore Subba Rao
Pág. 217 - 230
5G network is the next generation for cellular networks to overcome the challenges and limitations of the 4G network. Cloud Radio Access Network(C-RAN) is providing solutions for cost-efficient and power-efficient solutions for the 5G network. ...
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