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Diamantis Karakatsanis, Thomas Patsialis, Kyriaki Kalaitzidou, Ioannis Kougias, Maria Margarita Ntona, Nicolaos Theodossiou and Nerantzis Kazakis
The optimization of dam operations to transform them into multi-objective facilities constitutes a challenge for both hydrology, hydrogeology, and hydropower generation. However, the use of the optimal algorithm for such transformation is critically impo...
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Azad A. Ameen, Tarik A. Rashid and Shavan Askar
Child drawing development optimization (CDDO) is a recent example of a metaheuristic algorithm. The motive for inventing this method is children?s learning behavior and cognitive development, with the golden ratio being employed to optimize the aesthetic...
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Cinthia Peraza, Patricia Ochoa, Oscar Castillo and Patricia Melin
The challenges we face in today?s world are increasingly complex, and effectively managing uncertainty when modeling control problems can yield significant benefits. However, the complexity of these models often leads to higher computational costs. There...
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Hend Khalid Alkahtani, Khalid Mahmood, Majdi Khalid, Mahmoud Othman, Mesfer Al Duhayyim, Azza Elneil Osman, Amani A. Alneil and Abu Sarwar Zamani
The fast development of the Internet of Things (IoT) and widespread utilization in a large number of areas, such as vehicle IoT, industrial control, healthcare, and smart homes, has made IoT security increasingly prominent. Ransomware is a type of malwar...
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Neamah S. Radam, Sufyan T. Faraj Al-Janabi and Khalid Sh. Jasim
The multi-controller placement problem (MCPP) represents one of the most challenging issues in software-defined networks (SDNs). High-efficiency and scalable optimized solutions can be achieved for a given position in such networks, thereby enhancing var...
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Yang Zhang, Jiacheng Li and Lei Li
To overcome the shortcomings of the harmony search algorithm, such as its slow convergence rate and poor global search ability, a reward population-based differential genetic harmony search algorithm is proposed. In this algorithm, a population is divide...
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Ayla Ocak, Sinan Melih Nigdeli, Gebrail Bekdas, Sanghun Kim and Zong Woo Geem
In this study, the tuned liquid damper (TLD) device was optimized by the harmony search (HS) and adaptive harmony search algorithms (AHS). Using the harmony search algorithm, seismic excitations were directed at single and ten-story structures, and TLD p...
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Ayla Ocak, Gebrail Bekdas, Sinan Melih Nigdeli, Sanghun Kim and Zong Woo Geem
This study focuses on tuned liquid dampers (TLDs) using liquids with different characteristics optimized with the adaptive harmony search algorithm (AHS). TLDs utilize the characteristic features of the liquid to absorb the dynamic forces entering the st...
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Roberto Rosario Corsini, Antonio Costa, Sergio Fichera and Vincenzo Parrinello
This research deals with the same-day chemotherapy outpatient scheduling problem that is recognized as a leading strategy to pursue the objective of reducing patient waiting time. Inspired by a real-world context and different from the other studies, we ...
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Siva Kumar Mahalingam, Lenin Nagarajan, Chandran Velu, Vignesh Kumar Dharmaraj, Sachin Salunkhe and Hussein Mohamed Abdelmoneam Hussein
This work addresses an evolutionary algorithmic approach to reduce the surplus pieces in selective assembly to increase success rates. A novel equal area amidst unequal bin numbers (EAUB) method is proposed for classifying the parts of the ball bearing a...
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