Search Results - (( developing effective policy algorithm ) OR ( java implication _ algorithm ))

Optimization of operational policies for the Minab Reservoir, Southern Iran by Gholampoor, Mohammad

“…Through the hedging rule optimization an algorithm was developed to determine the benefit of water release and the water conserved in the reservoir. …”
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Optimized processing of satellite signal via evolutionary search algorithm by Hassan, Azmi, Othman, Rusli, Tang, Kieh Ming

“…Researchers from the Satellite Navigation Research Group (SNAG) of UTM are currently conducting a research program that mitigates the effect of the Anti-Spoofing (AS) policy. A robust strategy, called the Pseudo Randomized Search Strategy (PRSS) has been developed to counter the effect of this AS policy. …”
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Application of intelligent optimization techniques and investigating the effect of reservoir size in calibrating the reservoir operating policy by Hossain Md.S., El-Shafie A., Mohtar W.H.M.W.

“…The effect of the optimization algorithms was also investigated in terms of reservoir size and operational complexities. …”

A hybrid model of system dynamics and genetic algorithm to increase crude palm oil production in Malaysia by Mohd Zabid, M. Faeid

“…In this research, a hybrid model of system dynamics (SD) and genetic algorithm (GA) was developed to determine the optimal policy in increasing the CPO production in Malaysia. …”
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A federated usage control framework with ontology-based policy and elimination of irrelevant rules set algorithm for grid computing authorization by Maizura, Ibrahim

“…UBACO is created with the aim to reduce the comprehensive complexity of the high-level granularity policy model, and EIARS is developed with the aim to reduce the number of checked rules during the authorization process. …”
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Sentiment analysis regarding childcare issues using Naive Bayes Algorithm / Alis Farhana Zulkipeli by Zulkipeli, Alis Farhana

“…However, the lack of comprehensive methodologies poses challenges for policymakers, childcare providers, and researchers in understanding public concerns and developing effective interventions. To address this, a dataset of 1,079 tweets from X (formerly Twitter) is analyzed. …”
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Optimization of hydropower reservoir system using genetic algorithm for various climatic scenarios by Tayebiyan, Aida

“…To determine the optimum solution in each policy, real coded genetic algorithm is used as an optimization technique. …”
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Optimization and selection of maintenance policies in an electrical gas turbine generator based on the hybrid reliability-centered maintenance (RCM) model by Alrifaey, Moath, Hong, Tang Sai, As'arry, Azizan, Supeni, Eris Elianddy, Ang, Chun Kit

“…Hence, in the present study, a hybrid RCM model was proposed to fill these gaps and find the optimal maintenance policies and scheduling by a combination of hybrid linguistic-failure mode and effect analysis (HL-FMEA), the co-evolutionary multi-objective particle swarm optimization (CMPSO) algorithm, an analytic network process (ANP), and developed maintenance decision tree (DMDT). …”
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Development of reliability-centered maintenance model using linguistic failure mode and effect analysis by Mohammed Ahmed Qaid, Alrifaey Moath

“…An analytic network process (ANP) and a developed maintenance decision tree (DMDT) were used to find the optimal maintenance policy and schedule for every FMs. …”
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A Toolkit for Simulation of Desktop Grid Environment by FOROUSHAN, PAYAM CHINI

“…In this type of environment it is nearly impossible to prove the effectiveness of a scheduling algorithm. Hence the main objective of this study is to develop a desktop grid simulator toolkit for measuring and modeling scheduler algorithm performance. …”
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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Investigation and modelling of building energy management system for sustainable energy usage by Wan Muhammad Hafiz Wan Rosdi

Development of a two-level trade credit model with shortage for deteriorating products using hybrid metaheuristic algorithm by Molamohamadi, Zohreh

“…A hybrid metaheuristic algorithm which combines Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithm, is then developed to solve the established models. …”
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Efficient cache replacement policy for minimizing error rate in L2-STT-MRAM caches by Olanrewaju, Rashidah Funke, Khan, Burhan Ul Islam, Khan, Abdul Raouf, Yaacob, Mashkuri, Alam, Md Moktarul

“…The performance analysis of the proposed algorithm ensures its effectiveness in reducing the WER and cost overheads as compared to the conventional LRU technique implemented on SRAM cells.…”
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Developing A Prediction Tool To Improve The Shading Efficiency Of The Pedestrian Zones by Khudhayer, Wael A.

“…Then ECOTECT software has utilized to validate the effectiveness of the developed prediction tool for evaluating and improving the shading efficiency in the pedestrian zone. …”
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Performance comparison of feedforward neural network training algorithms in modeling for synthesis of polycaprolactone via biopolymerization by Wong, Yong Jie, Arumugasamy, Senthil Kumar, Jewaratnam, Jegalakshimi

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Development of bi-objective optimization model for supply chain network design using data envelopment analysis by Rahimi, Iman

“…One numerical example has been illustrated the effectiveness of Benders decomposition algorithm for the complicated problem. …”
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Multi-Reservoir System Optimization Based on Hybrid Gravitational Algorithm to Minimize Water-Supply Deficiencies by Karami, Hojat, Farzin, Saeed, Jahangiri, Aylin, Ehteram, Mohammad, Kisi, Ozgur, El-Shafie, Ahmed

“…Several methods based on algorithms have been developed in recent years in a bid to optimize water release operation policy, in order to overcome or minimize the impact of droughts. …”
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Review of optimal methods and algorithms for sizing energy storage systems to achieve decarbonization in microgrid applications by Hannan M.A., Faisal M., Jern Ker P., Begum R.A., Dong Z.Y., Zhang C.

Reinforcement learning-based target tracking for unmanned aerial vehicle with achievement rewarding and multistage traning by Ahmed Abo Mosali, Najm Addin Mohammed

“…Fifth, a novel agent selection algorithm was developed to enable the selection of the best agent and avoid under-fitting and over-fitting. …”
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