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Azal Ahmad Khan, Salman Hussain and Rohitash Chandra
Quantum computing has opened up various opportunities for the enhancement of computational power in the coming decades. We can design algorithms inspired by the principles of quantum computing, without implementing in quantum computing infrastructure. In...
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Qimin Gao, Lei Cheng, Renbing Wang, Mingjiang Chen, Weisong Zhao, Jingjing Fu and Zhenwei Wang
The mechanical properties of tomato stalk, relevant to the harvesting and crushing of tomato vines, significantly impact its harvesting quality and efficiency. Establishing a simulation model, which accurately mirrors these properties, is foundational fo...
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Heng Zhang, Zhentuo Wen, Yaya Chen, Junxiao Liu, Hongxin Liu, Zhifu Zhang and Xirui Zhang
This paper focuses on obtaining fundamental data for optimizing the design of intelligent equipment for cutting natural rubber and its key components. It uses natural rubber bark as the research subject and employs specific experimental apparatus to meas...
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Yanan Wu, He Wu, Hooi-Siang Kang and He Li
This article focuses on the optimization of the layout of a tidal current turbine array (TCTA) using the Quantum Discrete Particle Swarm (QDPS) algorithm. The objective of the optimization is to balance the maximum energy output and minimum levelized cos...
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Shaolong Yang, Jin Huang, Weichao Li and Xianbo Xiang
A growing number of researchers are interested in deploying unmanned surface vehicles (USVs) in support of ocean environmental monitoring. To accomplish these missions efficiently, multiple-waypoint path planning strategies for survey USVs are still a ke...
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Juliana Castaneda, Mattia Neroni, Majsa Ammouriova, Javier Panadero and Angel A. Juan
Many real-life combinatorial optimization problems are subject to a high degree of dynamism, while, simultaneously, a certain level of synchronization among agents and events is required. Thus, for instance, in ride-sharing operations, the arrival of veh...
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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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Alberto Racca, Tom Verstraete and Lorenzo Casalino
This paper addresses the problem of the design optimization of turbomachinery components under thermo-mechanical constraints, with focus on a radial turbine impeller for turbocharger applications. Typically, turbine components operate at high temperature...
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Chun-Liang Lu, Tsun-Chen Lin
Pág. 53 - 57
In recent years, support vector machine (SVM) based on empirical risk minimization is supervised learning model which has been successfully used in the classification and regression. The standard soft-margin SVM trains a classifier by solving an optimiza...
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Rodrigo Andrés Gómez-Montoya, Jose Alejandro Cano, Pablo Cortés and Fernando Salazar
Put-away operations typically consist of moving products from depots to allocated storage locations using either operators or Material Handling Equipment (MHE), accounting for important operative costs in warehouses and impacting operations efficiency. T...
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loubna benchikhi, Mohamed Sadgal, Aziz Elfazziki, Fatimaezzahra Mansouri
Pág. 51 - 71
Computer vision applications require choosing operators and their parameters, in order to provide the best outcomes. Often, the users quarry on expert knowledge and must experiment many combinations to find manually the best one. As performance, time and...
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D.V Lemtyuzhnikova,D.V. Kovkov
Pág. 1 - 8
We consider algorithms for solving integer optimization problems with quasi--block structure. Modern decomposition approaches are analyzed. We study Finkelstein decomposition and it variations for discovering quasi--block structure. Efficiency of local e...
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Mattia Neroni, Massimo Bertolini and Angel A. Juan
In automated storage and retrieval systems (AS/RSs), the utilization of intelligent algorithms can reduce the makespan required to complete a series of input/output operations. This paper introduces a simulation optimization algorithm designed to minimiz...
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Ken Jom Ho, Ender Özcan and Peer-Olaf Siebers
Solving multiple objective optimization problems can be computationally intensive even when experiments can be performed with the help of a simulation model. There are many methodologies that can achieve good tradeoffs between solution quality and resour...
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Piotr Bortnowski, Robert Król, Natalia Suchorab-Matuszewska, Maksymilian Ozdoba and Mateusz Szczerbakowicz
This study examines the optimization of ore receiving bins in underground copper mines, targeting the reduction of rapid wear and tear on bin components. The investigation identifies the primary wear contributors as the force exerted by the accumulated o...
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Beibut Amirgaliyev, Oleksandr Kuchanskyi, Yurii Andrashko and Didar Yedilkhan
This study considers building a dynamic model of profit maximization for a carsharing system and its verification based on the case of implementing such a system in Astana, Republic of Kazakhstan. The region, bounded by the administrative boundaries of A...
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Xinzhe Wang and Wenbin Yao
Transmission task static allocation (TTSA) is one of the most important issues in the automatic management of radio and television stations. Different transmission tasks are allocated to the most suitable transmission equipment to achieve the overall opt...
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Jianxiao Wang, Wei Sun, Petru Aurelian Simionescu and Yuanjin Ju
The seed metering process of a fluted force-feed seeder was simulated using the Discrete Element Method and its parameters optimized using the Box?Behnken Design of Experiments and the Response Surface Method. The rotational speed of the feed roller, the...
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Guoqiang Dun, Xingpeng Wu, Xinxin Ji, Wenhui Liu and Ning Mao
In order to solve the problem of uniform and precise fertilizer discharge, based on experimental analysis of the uneven nature of single-screw fertilizer discharge, a double arc groove screw fertilizer discharger was designed based on the principle of th...
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Jianfei Liu, Ping Jiang, Jun Chen, Xiaocong Zhang, Minzi Xu, Defan Huang and Yixin Shi
This study aimed to design a counter-rotating dual-axis spiral ditcher to address the problems of the lack of ditching models, low ditching quality, and high power consumption in ditching operations in hilly and mountainous orchards. By establishing a di...
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