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Haoran Du, Jixin Wang, Wenjun Qian and Xunan Zhang
Variational modal decomposition (VMD) is frequently employed for both signal decomposition and extracting features; however, the decomposition outcome is influenced by the quantity of intrinsic modal functions (IMFs) and the specific parameter values of ...
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Pablo Pérez, Víctor Toro-Román, Jesús Siquier-Coll, Ignacio Bartolomé and Francisco Javier Grijota Pérez
Carbohydrate intake is a commonly used strategy in sports, and supplementation for triathletes includes pre-competition, intra-competition, and post-competition intake. The consumption of fructose?glucose improves intestinal transit and gastric emptying....
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Mukhtar Zhassuzak, Marat Akhmet, Yedilkhan Amirgaliyev and Zholdas Buribayev
Unpredictable strings are sequences of data with complex and erratic behavior, which makes them an object of interest in various scientific fields. Unpredictable strings related to chaos theory was investigated using a genetic algorithm. This paper prese...
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Shuang Che, Yan Chen, Longda Wang and Chuanfang Xu
This work discusses the electric vehicle (EV) ordered charging planning (OCP) optimization problem. To address this issue, an improved dual-population genetic moth?flame optimization (IDPGMFO) is proposed. Specifically, to obtain an appreciative solution...
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Dimitris Papadopoulos and Vangelis D. Karalis
Sample size is a key factor in bioequivalence and clinical trials. An appropriately large sample is necessary to gain valuable insights into a designated population. However, large sample sizes lead to increased human exposure, costs, and a longer time f...
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Tomé Sicuaio, Pengxiang Zhao, Petter Pilesjo, Andrey Shindyapin and Ali Mansourian
Land use allocation (LUA) is of prime importance for the development of urban sustainability and resilience. Since the process of planning and managing land use requires balancing different conflicting social, economic, and environmental factors, it has ...
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Furkan Rabee and Zahir M. Hussain
Optimization using genetic algorithms (GA) is a well-known strategy in several scientific disciplines. The crossover is an essential operator of the genetic algorithm. It has been an active area of research to develop sustainable forms for this operand. ...
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Vladimir Stanovov, Lev Kazakovtsev and Eugene Semenkin
Differential evolution (DE) is a popular and efficient heuristic numerical optimization algorithm that has found many applications in various fields. One of the main disadvantages of DE is its sensitivity to parameter values. In this study, we investigat...
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Tarniê Vilela Nunes Narques, Roberto Chust Carvalho, André Luis Christoforo, Fernando Júnior Resende Mascarenhas, Felipe Nascimento Arroyo, Florisvaldo Cardozo Bomfim Junior and Herisson Ferreira dos Santos
In project practice, the search for optimal solutions is based on the traditional process of trial and error, which consumes much time and does not guarantee that solutions found are the optimal solutions for the problem. Many studies have been developed...
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Patricia Ochoa, Cinthia Peraza, Oscar Castillo and Zong Woo Geem
The shadowed type-2 fuzzy systems are used more frequently today as they provide an alternative to classical fuzzy logic. The primary purpose of fuzzy logic is to simulate reasoning in a computer. This work aims to use shadowed type-2 fuzzy systems (ST2-...
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