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1
Optimal network reconfiguration and intelligent service restoration prediction technique based on Cuckoo search spring algorithm / Mohamad Izwan Zainal
Published 2022“…In addition, objective function using the same CSSA algorithm were applied i.e., Vmin and Ploss as the objective function, and multi-objective involves Vmin and Ploss as the objective function. …”
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2
Smart energy meter with adaptive communication data transfer algorithm for electrical energy monitoring
Published 2021“…The prototype has been tested on a laboratory scale for its functionality by measuring the electrical parameters using heating elements as the load, and its ability in transferring data through three communications and monitoring as well as communicating with the SEM from DIS. …”
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3
Reduced complexity optimum detector for block data transmission systems
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4
Efficient back-off mechanism for multimedia support in IEEE 802.11E
Published 2012“…The main concept of the DFA-EDCA algorithm is to use exponential functions to tune the back-off parameters adaptively according to changes in network load and serve the time-bounded multimedia applications rapidly. …”
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5
Differential Evolution Based Special Protection and Control Scheme for Contingency Monitoring of Transmission Line Overloading
Published 2017“…Simulation results for various N − 1 contingency conditions within the considered power system under base case load are proposed and validated with those results from the Genetic Algorithm (GA). Minimum severity index has been undertaken as the objective function of this research work. …”
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6
Differential evolution based special protection and control scheme for contingency monitoring of transmission line overloading
Published 2017“…Simulation results for various N − 1 contingency conditions within the considered power system under base case load are proposed and validated with those results from the Genetic Algorithm (GA). Minimum severity index has been undertaken as the objective function of this research work. …”
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7
Reliability-aware swarm based multi-objective optimization for controller placement in distributed SDN architecture
Published 2023“…The effectiveness of our hybrid RDMCP-PSO was then evaluated using extensive experiments and compared with other baseline algorithms. …”
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8
Controller placement problem in the optimization of 5G based SDN and NFV architecture
Published 2021“…Extensive computations utilizing MATLAB 2018a on the Intel Core i7/Gen 10 processor and 16 GB of RAM are used to evaluate the algorithm efficacy. According to the blueprint of our heuristic method, the allocation and the optimum number of controllers under an effective decentralized policy could achieve higher efficiency. …”
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9
Optimization of supply chain management by simulation based RFID with XBEE Network
Published 2015“…This algorithm computes the optimal results of objective functions in a scientific manner. …”
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10
Design and implementation of a real-time adaptive learning algorithm controller for a 3-DOF parallel manipulator / Mustafa Jabbar Hayawi
Published 2015“…An electronic board, transistor relay driver circuit, is designed for the purpose of establishing communication interface between the computer, adaptive learning algorithm and the actuator mechanism. …”
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11
Mobility management for seamless handover in carrier aggregation heterogeneous networks deployment scenario of long term evolution-advanced
Published 2018“…The HHPO and the MC-HOD algorithms achieves significant enhancement compared to the conventional and other algorithms examined. …”
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12
ETERS: A comprehensive energy aware trust-based efficient routing scheme for adversarial WSNs
Published 2021“…Furthermore, a trust-based secure routing algorithm is incorporated to dynamically detect misbehavior in terms of packet forwarding for energy-efficient communication among sensor nodes. …”
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13
Critical insight for MAPReduce optimization in Hadoop
Published 2014“…Apache Hadoop is one the most used cloud frame work for cloud infrastructure. The predominant philosophy behind Hadoop optimization is the optimization of MapReduce, which is a dominant programming platform effective in bringing a=bout many functional enhancements as per scheduling algorithms developed and implemented. …”
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14
Normalized SPSA for Hammerstein model identification of twin rotor and electro-mechanical positioning systems
Published 2025“…Performance metrics such as the objective functions statistics, the number of function evaluations (NFE), and time- and frequency-domain responses were used for evaluation. …”
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15
Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures
Published 2020“…These steps have conducted using the MEMPHA model and ROA algorithm to optimize three metrics: execution time, total communication volume, and imbalance ratio (load balancing). …”
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16
Green network planning and operational power consumption optimization in LTE-A using artificial intelligence
Published 2015“…In conclusion, complying with green network concept in heterogeneous network systems is feasible. This compliance starts from adopting the green network concept in the planning stage of the systems and continues through the optimization of the network power expenditure during its operation. …”
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17
Green anaconda optimization based energy aware clustering protocol for 6G wireless communication systems
Published 2023“…The selection of proper CHs using metaheuristic algorithms fnds useful in design of energy-efcient WSNs. …”
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18
Quantum Particle Swarm Optimization Technique for Load Balancing in Cloud Computing
Published 2013“…Load management is the focus of research in both of the area in distributed Cloud Computing systems and centralized Cloud Computing systems. …”
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19
A novel fuzzy – backward/forward sweep power flow for uncertainty management in radial distribution network with photovoltaic generation
Published 2025“…Load uncertainties in the residential, commercial, and industrial sectors were modeled using triangular fuzzy membership functions derived from real-world data representing Malaysian urban loads. …”
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20
Dynamic load balancing policy with communication and computation elements in grid computing with multi-agent system integration
Published 2011“…The unique capabilities offered by multi-agent systems can be integrated or combined with the structure of dynamic load balancing to produce a better strategy and better load balancing algorithm. …”
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