Search Results - (( using optimization based algorithm ) OR ( policy implementation using algorithm ))
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1
A federated usage control framework with ontology-based policy and elimination of irrelevant rules set algorithm for grid computing authorization
Published 2019“…Meanwhile, the effect of EIARS in reducing the number of checked rules during the authorization process is evaluated using a simulation technique. The results indicate that, by implementing the UBACO, the weighted comprehensive complexity is reduced by 40.5% as compared to the UCON based policy proposed by Martinelli and Mori (2010). …”
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2
Marine Predator Algorithm and Related Variants: A Systematic Review
Published 2025“…It is a population-based metaheuristic optimization algorithm inspired by the general foraging behavior exhibited in the form of Levy and Brownian motion in ocean predators supported by the policy of optimum success rate found in the biological relationship between prey and predators. …”
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3
Marine Predator Algorithm and Related Variants: A Systematic Review
Published 2025“…It is a population-based metaheuristic optimization algorithm inspired by the general foraging behavior exhibited in the form of Levy and Brownian motion in ocean predators supported by the policy of optimum success rate found in the biological relationship between prey and predators. …”
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4
Malaysia residential load profile management based on time of use tariff using ant colony optimization algorithm
Published 2022“…The significant incentive demand response programme under the DSM, such as Time of Use tariff (TOU), was not implemented for residential consumers due to many reasons. …”
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5
A multi-objective routing mechanism for energy management optimization in SDN multi-control architecture
Published 2022“…The problem is then addressed from the perspective of the policy-based EARMLP technique, which is used to carefully determine the optimal assignment between controllers and their switches to optimize network energy savings. …”
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6
A multi-depot vehicle routing problem with stochastic road capacity and reduced two-stage stochastic integer linear programming models for rollout algorithm
Published 2021“…The proposed approach is suitable for obtaining a policy constructed dynamically on the go during the rollout algorithm. …”
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7
Modified ant colony optimization algorithms for deterministic and stochastic inventory routing problems / Lily Wong
Published 2018“…The computational results also show that the algorithms of population based ACO performs better than the algorithms of non-population based ACO. …”
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8
Controller placement problem in the optimization of 5G based SDN and NFV architecture
Published 2021“…In addition, energy savings of up to 70% are achieved compared to the proposed Dijkstra-based energy-aware algorithms.…”
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9
RLMD-PA: A Reinforcement Learning-Based Myocarditis Diagnosis Combined with a Population-Based Algorithm for Pretraining Weights
Published 2024journal::journal article -
10
Enhanced Mobility Solution In Mobile Ipv6 Network
Published 2008“…The interface selection algorithm was based on NEMO implementation structure using a technique of mutihoming which was extended to MIPv6 concepts The outcome of this research work are: a designed policy protocol for policy messages communication between the Mobile Router and the Home Agent, the framework is simulated using Network Simulator (NS2) with an extension of mobiwan, the result shows the end to end delay, average end to end delay, overhead, optimal routing path, average inter-packet latency and throughput of the developed system. …”
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11
Energy-driven scheduling for Digital Video Broadcasting - Satellite Second Generation (DVB-S2)
Published 2013“…In this paper, an energy-driven scheduling algorithm with optimized throughput, termed as Energy Efficiency Fair (EEF) queuing algorithm, is proposed. …”
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12
Comparison of PPO and SAC Algorithms towards decision making strategies for collision avoidance among multiple autonomous vehicles
Published 2021“…In order to address this challenge, a simulation was implemented in the Unity3D game engine and two state-of-the-art RL algorithms PPO (Proximal Policy Optimization) and SAC (Soft Actor-Critic) were trained by an agent using Unity ML-Agents Toolkit. …”
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13
Knowledge-based disk scheduling policy using fuzzy logic
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14
Product optimization of a fed-batch fermentation process
Published 2007“…Two strategies are considered. These are optimal control policy using direct-shooting algorithm and unconstrained Dynamic Matrix Control (DMC). …”
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15
Deep Reinforcement Learning For Control
Published 2021“…Potential actions must be taken based on prior experiences using a trial and error process. …”
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Monograph -
16
An Intelligent Modeling of Oil Consumption
Published 2015“…The approach presented in the study can easily be implemented into a software for use by the government of Jordan, Lebanon, Oman, and Saudi Arabia.…”
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17
Dynamic investment model for the restructed power market in the presence of wind source
Published 2014“…In the third step, the long term optimal investment strategies of the hybrid wind-thermal investor are determined based on the dynamic programming algorithm by considering the long term states of demand growth and fuel price uncertainties. …”
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18
Determination of tree stem volume : A case study of Cinnamomum
Published 2013“…A data transformation approach is introduced, based on the different data characteristics using the maximum coefficient of determination (R2) and maximum p-value approaches. …”
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19
A smart spectrum access technique for dynamic multi-hop routing in cognitive radio-based disaster response networks
Published 2022“…The multi-hop route selection is executed using the Hybrid Spiral Penguin Optimization (HSPO) algorithm based on the decision made by the DE-D2PG. …”
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20
Dynamic approaches for spectrum control in cognitive radio networks
Published 2015“…Two artificial intelligence techniques are utilized which are Fuzzy Inference and Bayesian Inference. To optimize Fuzzy Inference scheduler, Genetic Algorithm is used. …”
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