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Two objectives big data task scheduling using swarm intelligence in cloud computing
Published 2016“…In this direction, this paper first gives review of some previous scheduling algorithms used in cloud. Then, it proposes a type of swarm intelligence called Particle Swarm Optimization (PSO) algorithm to diminish cost though meeting deadlines. …”
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Schedule of tour guide using genetic algorithm / Nur Aishah Rosli
Published 2017“…In this paper, genetic algorithm (GA) is the recommended techniques to achieve optimization for scheduling and to come out with a prototype of intelligence schedule for tour guides. …”
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Dynamic traffic light sequence algorithm using RFID
Published 2008“…A dynamic time schedule was worked out for the passage of each column. …”
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Modelling of heuristic distribution algorithm to optimize flexible production scheduling in Indian industry
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Rehabilitation and home health monitoring Based-AI scheduling application for coronary artery disease and cardiovascular patients
Published 2024“…It will enable the interaction between the smart wearable by using the health kit and artificial intelligence algorithms to schedule the best fit rehabilitation activity based on the patient’s health status and live monitoring by medical practitioners.…”
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Multi agent quality of service routing based on scheme ant colony optimization algorithm
Published 2014“…In saturated load, efficiency is a very important parameter and a few changes in it can result in high performance of network to delivery of data.…”
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Development Of An Intelligent Water Blending System For Irrigation Of Crops With Various Salinity Tolerance And Aquaculture
Published 2008“…The aim of this work was to propose an artificial intelligence solution to connect many tanks in a network topology, where each tank supplies water with a specific salinity tolerance. …”
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Adaptive and optimized radio resource allocation algorithms for OFDMA based networks
Published 2015“…The higher the number of suitable subcarriers that can be judiciously assigned to a SS, the more the SS will gain by way of a higher performance contributing to total higher data rate efficiency. …”
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A study of packet scheduling algorithms in long term evolution-advanced
Published 2019“…The simulation results obtained demonstrate the efficacy of RM2 scheduling algorithm over other scheduling algorithms in maximizing the system capacity and is more robust on the effect of the cellular channel impairments.…”
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African Buffalo Optimization (ABO): A New Metaheuristic Algorithm
Published 2015“…When compared to the Ant Colony Optimization algorithm, Simulated Annealing and Genetic Algorithm, the results obtained from African Buffalo Optimization show that the algorithm works well and can be extended to solving problems like: path planning, scheduling, vehicle routing in addition to other constraint-driven problems.…”
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A study of packet scheduling with mobile cellular channel impairments
Published 2012“…Future works include development of a new packet scheduling algorithm to overcome detrimental effects due to LTE-A channel impairments on the QoS of multimedia services.…”
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Proceeding Paper -
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A study of packet scheduling with mobile cellular channel impairments
Published 2012“…Future works include development of a new packet scheduling algorithm to overcome detrimental effects due to LTE-A channel impairments on the QoS of multimedia services.…”
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Series division method based on PSO and FA to optimize Long-Term Hydro Generation Scheduling
Published 2018“…To deal with this complicated problem, Series division method (SDM) based on the practical swarm optimization and the firefly algorithm is proposed in this paper. The SDM is to make a division on the Swarm Intelligence (SI) algorithm which is to be a number of particles searching collections that properly can be regarded as divisions. …”
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Network calculus-based latency for time-triggered traffic under Flexible Window-Overlapping Scheduling (FWOS) in a Time-Sensitive Network (TSN)
Published 2021“…Accordingly, more relaxed scheduling algorithms are required. In this paper, we introduce the flexible window-overlapping scheduling (FWOS) algorithm that optimizes the overlapping among TT windows by three different metrics: the priority of overlapping, the position of overlapping, and the overlapping ratio (OR). …”
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