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caused algorithm » carlo algorithm (Expand Search), mould algorithm (Expand Search)
would algorithm » mould algorithm (Expand Search)
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Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm
Published 2022“…Optimization algorithms are one of the most popular methods for solving NP-hard problems. …”
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Impact of Charging Electric Vehicles under Different State of Charge Levels and Extreme Conditions
Published 2021“…Different case scenarios are studied for validation purposes, such as charging PEVs under different state of charge levels, different energy demands at home, and different pricing mechanisms. …”
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Multi-marker-LD based genetic algorithm for tag SNP selection
Published 2014“…The performance of the three algorithms are compared with those of a recognized tag SNP selection algorithm using three different real data sets from the HapMap project. …”
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Allocating data to multicomputer nodes by physical optimization algorithms for loosely synchronous computations
Published 1992“…Hence, different algorithms would be suitable for different applications. …”
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Stochastic management of hybrid AC/DC microgrids considering electric vehicles charging demands
Published 2020“…No doubt that the random and volatile charging demand of these devices would affect the power grid optimal operation and scheduling which may be regarded as a new challenge. …”
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A localized navigation algorithm for Radiation Evasion for nuclear facilities. Part II: Optimizing the "Nearest Exit" Criterion
Published 2013“…Under this modification, algorithm would yield navigation paths that would guide occupational workers towards Nearest Exit points. …”
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Implementation and Comparison of Particle Swarm Optimization and Genetic Algorithm Techniques in Combined Economic Emission Dispatch of an Independent Power Plant
Published 2019“…Two contemporary metaheuristic techniques, particle swarm optimization (PSO) and genetic algorithm (GA), have were simultaneously implemented for combined economic emission dispatch (CEED) of an independent power plant (IPP) situated in Pakistan for different load demands. …”
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Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization
Published 2024“…This hybrid approach, the Improved Prairie Dog Optimization Algorithm (IPDOA) with the Genetic Algorithm (GA), utilizes the strengths of both algorithms to improve the overall optimization performance. …”
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An Adapted Load-Balancing implementation for Sharded Blockchains
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Wearable Real-Time Heart Attack Detection and Warning System to Reduce Road Accidents
Published 2019“…Linear classification and several machine algorithms were trained and tested for real-time application. …”
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A depth-controlled and energy-efficient routing protocol for underwater wireless sensor networks
Published 2022“…An imbalance in power consumption can cause poor performance and a limited network lifetime. …”
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Multi-Objective Task Allocation Via Multi-Agent Coalition Formation
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Cuckoo search for portfolio optimization. (c2014)
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Mobile clinics routing in response to covid-19 outbreak: an intelligent hyperheuristic approach
Published 2022“…Health is an essential factor for sustaining a better life in a better world. Today, for different reasons, several districts in our countries would be deprived from the needed health support and thus, in such cases, we need to deliver health care to those regions. …”
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Thermal convection of fluid in fractured media
Published 1995“…Including this phenomenon in a modelling process led us to propose a development of the UDEC code. The computational algorithm is based on the differences between the rates of convective and conductive heat transfers. …”
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Optimization of PV Cleaning Practices: Comparison Between Performance-Based and Periodic-Based Approaches
Published 2020“…The algorithm’s input included electricity production, soiling rates (SRs), electricity price, and cleaning costs. …”
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Optimizing clopidogrel dose response
Published 2016“…To get a therapeutic effect and avoid adverse drug reactions, therapeutic dose of 75 mg clopidogrel, for example, should be lowered to 6 mg or increased to 215 mg in patients with different genotypes. Conclusion The implementation of clopidogrel new algorithm has the potential to maximize the benefit of clopidogrel pharmacological therapy. …”
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