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1
Energy-aware scheduling optimization in hybrid flow shops using artificial bee colony algorithm
Published 2024“…An Artificial Bee Colony (ABC) algorithm is proposed as an effective solution methodology for tackling the HFSE problem. …”
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Battery management optimization and lifecycle impact analysis for microgrid operation with V2G implementation / Muhammad Sufyan
Published 2019“…The proposed method results in 50% cost reduction when compared with the conventional method. …”
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3
Channel assignment and congestion control in multi-radio multi-channel wireless mesh networks
Published 2015“…The proposed JCACC mechanism provides a more sophisticated solution with 25.16% reduction in round-trip time (RTT) and 24.1% improvement in throughput as compared to previously proposed Distributed Congestion Aware Channel Assignment (DCACA) algorithm.…”
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4
Adaptive Medium Access Control (ADT-MAC) Protocol for Dynamic Medical Traffic with Quality of Service (QoS) provisioning in Wireless Body Area Network (WBAN)
Published 2025“…In addition, ADT-MAC enhances energy efficiency with a 90 % reduction in energy consumption. The result of packet delay from priority queues further validates the accuracy of the proposed ADT-MAC and its queueing algorithm. …”
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5
Metaheuristic algorithms for solving lot-sizing and scheduling problems in single and multi-plant environments / Maryam Mohammadi
Published 2015“…Metaheuristic approaches namely genetic algorithm, particle swarm optimization, artificial bee colony, simulated annealing, and imperialist competitive algorithm are adopted for the optimization procedures. …”
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6
Fruit-Fly Based Searching Algorithm For Cooperative Swarming Robotic System
Published 2013“…Using the existing lawnmower methods incur substantial costs in terms of time, accuracy and reliability. …”
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7
Optimal power flow solutions for power system operations using moth-flame optimization algorithm
Published 2020“…The comparison proves that MFO gives better results compared to the other compared algorithms. MFO gives a reduction of 14.50% compared to 13.38 and 14.15% for artificial bee colony (ABC) and Improved Grey Wolf Optimizer (IGWO) respectively…”
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Optimization of supply chain management by simulation based RFID with XBEE Network
Published 2015“…In order to solve this problem, a simulation based “Multi-Colony Global Particle Swarm Optimization (MC-GPSO)” algorithm was developed. This algorithm computes the optimal results of objective functions in a scientific manner. …”
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A Comparative Study of Optimization Methods for 33kV Distribution Network Feeder Reconfiguration
Published 2014“…In this paper, a comparative study has been made by using several optimization methods which are Artificial Bee Colony (ABC), Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). …”
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A comparative study of optimization methods for 33kV distribution network feeder reconfiguration
Published 2014“…In this paper, a comparative study has been made by using several optimization methods which are Artificial Bee Colony (ABC), Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). …”
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