Congestion management using monarch butterfly optimization in restructured power system [PDF]
Scientific ReportsCongestion is an important issue and its management is one of the main technical challenges in any restructured power system. Congestion occurs, when the line flow exceeds its capacity while accommodating all the constraints of power transfer through the
Hemamalini M, Senthil Kumar V
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Monarch Butterfly Optimization Based Convolutional Neural Network Design
Mathematics, 2020 Convolutional neural networks have a broad spectrum of practical applications in computer vision. Currently, much of the data come from images, and it is crucial to have an efficient technique for processing these large amounts of data.
Nebojsa Bacanin +4 more
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Cloudlet Scheduling by Hybridized Monarch Butterfly Optimization Algorithm
Journal of Sensor and Actuator Networks, 2019 Cloud computing technology enables efficient utilization of available physical resources through the virtualization where different clients share the same underlying physical hardware infrastructure. By utilizing the cloud computing concept, distributed,
Ivana Strumberger +3 more
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Hybrid Monarch Butterfly Optimization-DenseNet framework for energy-aware task scheduling in cloud environments [PDF]
Scientific ReportsCloud computing provides scalable processing capabilities for handling large-scale datasets across healthcare and other industries. Efficient task scheduling is essential to optimize resource utilization, reduce execution time, and minimize energy ...
Thanjaivadivel Manavalan +4 more
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Objects and Action Detection of Human Faces through Thermal Images Using ANU-Net [PDF]
Sensors, 2022 Thermal cameras, as opposed to RBG cameras, work effectively in extremely low illumination situations and can record data outside of the human visual spectrum. For surveillance and security applications, thermal images have several benefits. However, due
Babu Rajendra Prasad Singothu +1 more
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Mathematics, 2019 As a significant subset of the family of discrete optimization problems, the 0-1 knapsack problem (0-1 KP) has received considerable attention among the relevant researchers.
Yanhong Feng, Xu Yu, Gai-Ge Wang
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A Multi-Objective Task Scheduling Strategy for Intelligent Production Line Based on Cloud-Fog Computing [PDF]
Sensors, 2022 With the widespread use of industrial Internet technology in intelligent production lines, the number of task requests generated by smart terminals is growing exponentially. Achieving rapid response to these massive tasks becomes crucial.
Zhenyu Yin +6 more
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A Monarch Butterfly Optimization for the Dynamic Vehicle Routing Problem
Algorithms, 2017 The dynamic vehicle routing problem (DVRP) is a variant of the Vehicle Routing Problem (VRP) in which customers appear dynamically. The objective is to determine a set of routes that minimizes the total travel distance.
Shifeng Chen, Rong Chen, Jian Gao
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Blockchain and bio-inspired deep learning for energy-efficient EV-to-grid optimization [PDF]
Scientific ReportsElectric Vehicle-to-Grid (V2G) arrangements stand at the center of bidirectional energy exchange in modern smart grids and are, however, challenged by real-time decision-making, load balancing, and the security of transaction validation.
N. V. Ravindhar +3 more
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Optimization driven cluster based indexing and matching for the document retrieval
Journal of King Saud University: Computer and Information Sciences, 2022 Document retrieval methods concentrate on minimizing the time taken for the navigator to recall the entire document while analyzing the concepts, themes, and contents of the document based on their research goals.
Mamta Kayest, Sanjay Kumar Jain
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