Search Results - (( loading optimization proposed algorithm ) OR ( java application mining algorithm ))
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Direct approach for mining association rules from structured XML data
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Optimal vehicle to grid planning and scheduling using double layer multi-objective algorithm
Published 2023Article -
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Optimized load balancing for efficient resource provisioning in the cloud
Published 2014“…We compared our proposed load balancing algorithm with an existing load balancing algorithm. …”
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Development of bacteria foraging optimization algorithm for cell formation in cellular manufacturing system considering cell load variations
Published 2013“…The results lie in favor of better performance of the proposed algorithm.…”
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Optimal loading analysis with penalty factors for generators using brute force method
Published 2022“…Optimal load dispatching is an important challenge for modern electric and computational engineering. …”
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Optimal chiller loading solution for energy conservation using Barnacles Mating Optimizer algorithm
Published 2022“…This paper proposes an application of evolutionary optimization algorithm, Barnacles Mating Optimizer (BMO) to solve the optimal chiller loading (OCL) problem for minimization of the power consumption in the multi chiller system. …”
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Ant colony optimization algorithm for load balancing in grid computing
Published 2012“…The proposed algorithm is known as the enhance ant colony optimization (EACO). …”
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A novel peak load shaving algorithm for isolated microgrid using hybrid PV-BESS system
Published 2021“…A novel peak load shaving algorithm has been proposed in this study for peak shaving application in hybrid PV-BESS connected Isolated Microgrid (IMG) system. …”
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Optimization of load frequency control permancein two-area power system with PID controller using ICA and GSA algorithms / Mumuney Nurullahi Lekan
Published 2018“…Hence, in this project, imperialist competitive algorithm (ICA) and gravitational search algorithm (GSA) are proposed in a LFC of two-area power system to optimize the performance of PID controllers using MATLAB and Simulink. …”
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One day ahead daily peak hour load forecasting by using invasive weed optimization learning algorithm based Artificial Neural Network
Published 2012“…In this project, an Artificial Neural Network (ANN) trained by the Invasive Weed Optimization (IWO) learning algorithm is proposed for short term load forecasting (STLF) model. …”
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Optimized Load Balancing based Task Scheduling in Cloud Environment
Published 2014“…In this paper, task scheduling strategy based on load balancing Quantum Particles Swarm algorithm (BLQPSO) was proposed. …”
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Optimal distributed generation and load shedding scheme using artificial bee colony- hill climbing algorithm considering voltage stability and losses indices
Published 2021“…To solve this problem, an optimal load shedding approach, integrated with optimal DG sizing is proposed using the ABC-HC algorithm. …”
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Grid load balancing using enhance ant colony optimization
Published 2011“…The credibility of the proposed algorithm was tested with other load balancing algorithim and results showed that the proposed algorithm was able to balance the load on the resources.…”
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Optimization of neural network architecture using genetic algorithm for load forecasting
Published 2014“…Multi-objective algorithm is proposed in this research which optimizes the ANN architecture that leads to enhancement in load forecast accuracy and reduction in the computational cost. …”
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Quantum Particle Swarm Optimization Technique for Load Balancing in Cloud Computing
Published 2013“…Then the optimal criterion for exchanging tasks between two machines is proposed and exploited to speed up the improving process towards load balance. …”
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Hybrid ant colony optimization algorithm for container loading problem
Published 2012“…It was showed that the proposed HACO algorithm has the capability in solving the CLP.…”
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Multiobjective optimization using weighted sum Artificial Bee Colony algorithm for Load Frequency Control
Published 2014“…The robustness of the proposed algorithm is further investigated by evaluating the response of the system under simultaneous step load perturbation (SLP), changing load demand and collectively varying system parameters in the range of ±50%. …”
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