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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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Ying-Ying Weng, Rong-Yu Wu and Yu-Jun Zheng
In the traditional express delivery sector, trucks are the most available and efficient transportation mode in urban areas. However, due to the pressures of traffic congestion and air pollution problems, many cities have implemented strict measures to re...
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Adolfo R. Lopez, Oscar A. López-Núñez, Ricardo Pérez-Zúñiga, Jair Gómez Radilla, Mario Martínez-García, Maria A. López-Osorio, Gerardo Ortiz-Torres, Mayra G. Mena-Enriquez, Moises Ramos-Martinez, Juan Carlos Mixteco-Sánchez, Carlos Alberto Torres-Cantero, Felipe D. J. Sorcia-Vázquez and Jesse Y. Rumbo-Morales
This paper shows the implementation of the Moth?Flame Optimization algorithm in a Cascade-H multilevel inverter with five and seven levels to determine the optimal switching sequence of the inverter?s semiconductor devices. The algorithm was coded in Mat...
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Linfeng Mei and Qian Wang
Since tremendous resources are consumed in the architecture, engineering, and construction (AEC) industry, the sustainability and efficiency in this field have received increasing concern in the past few decades. With the advent and development of comput...
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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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Jahedul Islam, Berihun Mamo Negash, Pandian M. Vasant, Nafize Ishtiaque Hossain and Junzo Watada
The high dimensional, multimodal, and discontinuous well placement optimization is one of the main difficult factors in the development process of conventional as well as shale gas reservoir, and to optimize this problem, metaheuristic techniques still s...
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Doddy Prayogo,Christianto Tirta Kusuma
Pág. 43 - 51
Bad scheduling and resource management can cause delays or cost overruns. Optimization in solving resource leveling is necessary to avoid those problems. Several objective criteria are used to solve resource leveling. Each of them has the same objective,...
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Mirko M. Stojiljkovic, Mladen M. Stojiljkovic and Bratislav D. Blagojevic
In this paper, a methodology for multi-objective optimization of trigeneration plants is presented. It is primarily applicable to the systems for buildings? energy supply characterized by high load variations on daily, weekly and annual bases, as well as...
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Mateusz Malarczyk, Grzegorz Kaczmarczyk, Jaroslaw Szrek and Marcin Kaminski
This paper presents the operation of a remotely controlled, wheel-legged robot. The developed Wi-Fi connection framework is established on a popular ARM microcontroller board. The implementation provides a low-cost solution that is in congruence with the...
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Marko Gulic and Martina ?u?kin
In this paper, a hybrid nature-inspired metaheuristic algorithm based on the Genetic Algorithm and the African Buffalo Optimization is proposed. The hybrid approach adaptively switches between the Genetic Algorithm and the African Buffalo Optimization du...
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Oscar Danilo Montoya, Alexander Molina-Cabrera, Walter Gil-González
Pág. e19815
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Yusuf Cengiz Toklu, Gebrail Bekdas, Melda Yücel, Sinan Melih Nigdeli, Aylin Ece Kayabekir, Sanghun Kim and Zong Woo Geem
Total Potential Optimization using Metaheuristic Algorithms (TPO/MA) is an alternative tool for the analysis of structures. It is shown that this emerging method is advantageous in solving nonlinear problems like trusses, tensegrity structures, cable net...
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Andrés Angulo, Diego Rodríguez, Wilmer Garzón, Diego F. Gómez, Ameena Al Sumaiti and Sergio Rivera
The integration of different energy resources from traditional power systems presents new challenges for real-time implementation and operation. In the last decade, a way has been sought to optimize the operation of small microgrids (SMGs) that have a gr...
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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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Doddy Prayogo, Min-Yuan Cheng, Yu-Wei Wu, A. A. N. Perwira Redi, Vincent F. Yu, Satria Fadil Persada and Reny Nadlifatin
Symbiotic organisms search (SOS) is a promising metaheuristic algorithm that has been studied recently by numerous researchers due to its capability to solve various hard and complex optimization problems. SOS is a powerful optimization technique that mi...
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Omar Aguilar-Mejía, Hertwin Minor-Popocatl and Ruben Tapia-Olvera
Proportional integral (PI) control is still the most widely deployed controller in the industrial drives due to its simplicity and the fact that it is easy to understand and implement. Nevertheless, they are successes applied to systems with a complex be...
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Efrain Mendez, Israel Macias, Alexandro Ortiz, Pedro Ponce, Adriana Vargas-Martinez, Jorge de Jesús Lozoya-Santos, Ricardo A. Ramirez-Mendoza, Ruben Morales-Menendez and Arturo Molina
Nowadays in modern industrial applications, where the power supply efficiency is more important than the output noise performance, DC-DC converters are widely used in order to fulfill the requirements. Yet, component selection and precise estimation of p...
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Gabriel García-Gutiérrez, Diego Arcos-Aviles, Enrique V. Carrera, Francesc Guinjoan, Emilia Motoasca, Paúl Ayala and Alexander Ibarra
The main benefits of fuzzy logic control (FLC) allow a qualitative knowledge of the desired system?s behavior to be included as IF-THEN linguistic rules for the control of dynamical systems where either an analytic model is not available or is too comple...
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Marylu L. Lagunes, Oscar Castillo, Fevrier Valdez and Jose Soria
This article describes an optimization methodology based on a model of competitiveness between different metaheuristic methods. The main contribution is a strategy to dynamically find the algorithm that obtains the best result based on the competitivenes...
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Mohammad Ehteram, Suhana Binti Koting, Haitham Abdulmohsin Afan, Nuruol Syuhadaa Mohd, M. A. Malek, Ali Najah Ahmed, Amr H. El-shafie, Chiu Chuen Onn, Sai Hin Lai and Ahmed El-Shafie
In recent decades, solving complex real-life optimization problems has attracted the full attention of researchers. Dam and reservoir operation rules are considered one of the most complicated optimization engineering problems. In fact, the operation rul...
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