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Jafar Jafari-Asl, Seyed Arman Hashemi Monfared and Soroush Abolfathi
This study investigates the optimal and safe operation of pumping stations in water distribution systems (WDSs) with the aim of reducing the environmental footprint of water conveyance processes. We introduced the nonlinear chaotic honey badger algorithm...
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Shubhendu Kshitij Fuladi and Chang-Soo Kim
In the real world of manufacturing systems, production planning is crucial for organizing and optimizing various manufacturing process components. The objective of this paper is to present a methodology for both static scheduling and dynamic scheduling. ...
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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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Sirote Khunkitti, Apirat Siritaratiwat and Suttichai Premrudeepreechacharn
Since the increases in electricity demand, environmental awareness, and power reliability requirements, solutions of single-objective optimal power flow (OPF) and multi-objective OPF (MOOPF) (two or three objectives) problems are inadequate for modern po...
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Daniel Julián Nivia Torres, Guillermo Alejandro Salazar Alarcón, Oscar Danilo Montoya Giraldo
Pág. e19303
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Andrei V. Panteleev and Anna A. Kolessa
A new hybrid metaheuristic method for optimizing the objective function on a parallelepiped set of admissible solutions is proposed. It mimics the behavior of a school of river perch when looking for food. The algorithm uses the ideas of several methods:...
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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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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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Oscar Danilo Montoya, Luis Fernando Grisales-Noreña, Lázaro Alvarado-Barrios, Andres Arias-Londoño and Cesar Álvarez-Arroyo
This research addresses the problem of the optimal placement and sizing of (PV) sources in medium voltage distribution grids through the application of the recently developed Newton metaheuristic optimization algorithm (NMA). The studied problem is formu...
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Rujapa Nanthapodej, Cheng-Hsiang Liu, Krisanarach Nitisiri and Sirorat Pattanapairoj
Environmental concerns and rising energy prices put great pressure on the manufacturing industry to reduce pollution and save energy. Electricity is one of the main machinery energy sources in a plant; thus, reducing energy consumption both saves energy ...
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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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Stephanie Alvarez Fernandez, Marcelo M. Carvalho and Daniel G. Silva
This work addresses the problem of using Unmanned Aerial Vehicles (UAV) to deploy a wireless aerial relay communications infrastructure for stations scattered on the ground. In our problem, every station in the network must be assigned to a single UAV, w...
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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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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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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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Parisa Aghazade , Alireza Bagheri , Mohamadmansoor Riahi Kashani
The separation of color points is one of the important issues in computational geometry, which is used in various parts of science; it can be used in facility locating, image processing and clustering. Among these, one of the most widely used computation...
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Gülçag Albayrak, Ilker Özdemir
Pág. 304 - 318
Completion of the activities within optimal time and cost plays a significant role in construction projects. Recently, project managers have to decrease the total durations and costs of the projects more than before due to the competitive environment. Mo...
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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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Weili Liu, Jing Zhang, Wei Wei, Tao Qin, Yuanchen Fan, Fei Long and Jing Yang
The technology of wireless sensor networks (WSNs) is developing rapidly, and it has been applied in diverse fields, such as medicine, environmental control, climate prediction, monitoring, etc. Location is one of the critical fields in WSNs. Time differe...
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Abiodun M. Ikotun and Absalom E. Ezugwu
Automatic clustering problems require clustering algorithms to automatically estimate the number of clusters in a dataset. However, the classical K-means requires the specification of the required number of clusters a priori. To address this problem, met...
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