Search Results - optimal ((((((self algorithm) OR (search algorithm))) OR (cell algorithm))) OR (_ algorithm))
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1
An improved negative selection algorithm based on the hybridization of cuckoo search and differential evolution for anomaly detection
Published 2018“…These randomly generated detectors suffer from not been able to adequately cover the non-self space, which diminishes the detection performance of the V-Detectors algorithm. …”
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2
Mobility management schemes based on multiple criteria for optimization of seamless handover in long term evolution networks
Published 2014“…The results demonstrated that our proposed method results in significant reductions of HOF, HOPP and packet loss ratio (PLR) compared to the conventional HHO and enhanced weighted performance HO parameter optimization (EWPHPO) algorithm. The results also show that the reduction of HOF through FuzAMP over conventional HHO algorithm is approximately 60%, 65%, and 66% at 3, 30, and 120 km/h, respectively, and over EWPHPO algorithm is approximately 30%, 46%, and 50% at 3, 30, and 120 km/h, respectively. …”
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3
Synthesis of transistor-chaining algorithm for CMOS cell layout using bipartite graph / Azizi Misnan
Published 1997“…A depth - first search algorithm is used to search for optimal chaining. …”
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4
Chaotic self-adaptive interior search algorithm to solve combined economic emission dispatch problems with security constraints
Published 2023“…Genetic algorithms; Learning algorithms; Multiobjective optimization; Particle swarm optimization (PSO); Combined economic emission dispatch; Multi-objective optimization problem; Performance metrics; Search Algorithms; Security constraint; Electric load dispatching…”
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Optimal path planning algorithms in virtual environments
Published 2006“…A* algorithm was also incorporated with Cell Mapping technique to speed up the searching process. …”
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Multi-Objective Hybrid Algorithm For The Classification Of Imbalanced Datasets
Published 2019“…This research work proposed a new idea based on the optimization for handling the imbalanced datasets. A new self-adaptive hybrid algorithm (CSCMAES) is introduced for optimization. …”
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A robust parameter estimation approach based on stochastic fractal search optimization algorithm applied to solar PV parameters
Published 2023“…Diodes; Equivalent circuits; Fractals; Optimization; Parameter estimation; Photovoltaic cells; Stochastic systems; Equivalent circuit model; Optimization algorithms; Performance parameters; Renewable energies; Robust parameter estimation; Search optimization; Single-diode models; Solar photovoltaics; Solar cells…”
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Search algorithms for path planning problems in harsh wireless sensor network environment
Published 2017“…This dissertation presents three heuristic search algorithms which all of them descended from the origin Dijkstra’s algorithm that solve multiple different problems arise from path planning in WSN environment. …”
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9
Recent Evolutionary Algorithm Variants for Combinatorial Optimization Problem
Published 2023“…Hybridization in evolutionary algorithm mechanisms such as initialization methods, local searches, specific design operators, and self-adaptive parameters enhance the algorithm’s performance. …”
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Malaysian menu planning model using Self-adaptive Hybrid Genetic Algorithm (SHGA)
Published 2018“…Hybridization technique of two local search methods and self-adaptive strategy has successfully improved the performance of traditional genetic algorithm through balanced exploitation and exploration scheme.…”
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ANN-Based Binary Backtracking Search Algorithm for VPP Optimal Scheduling and Cost-Effective Evaluation
Published 2023“…Cost effectiveness; Cost reduction; Electric power transmission networks; Learning algorithms; Neural networks; Renewable energy resources; Scheduling; Wind; Backtracking search algorithms; Charging/discharging; Correlation coefficient; Mean absolute error; Optimal scheduling; Optimization algorithms; Renewable energy source; Virtual power plants (VPP); Electric power system control…”
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Malaysian menu planning model using Self-Adaptive Hybrid Genetic Algorithm (SHGA)
Published 2018“…Hybridization technique of two local search methods and self-adaptive strategy has successfully improved the performance of traditional genetic algorithm through balanced exploitation and exploration scheme…”
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Process Planning Optimization In Reconfigurable Manufacturing Systems
Published 2008“…The five (5) AADTs include; a variant of the simulated annealing algorithm that implements heuristic knowledge at critical decision points, two (2) cooperative search schemes based on a “loose hybridization” of the Boltzmann Machine algorithm with (i) simulated annealing, and (ii) genetic algorithm search techniques, and two (2) modified genetic algorithms. …”
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14
A hybrid particle swarm optimization approach and its application to solving portfolio selection problems
Published 2011Subjects: “…Genetic algorithm…”
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An Optimal Scheduling Controller for Virtual Power Plant and Microgrid Integration Using the Binary Backtracking Search Algorithm
Published 2023“…Bins; Controllers; Fueling; Gas generators; Global optimization; Health; Integration; Learning algorithms; Optimization; Particle swarm optimization (PSO); Power generation; Reliability; Renewable energy resources; Scheduling; Wind; Backtracking search algorithms; Micro grid; Optimal scheduling; Scheduling controllers; Virtual power plants; Wind speed; Power control…”
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Menu Planning Model for Malaysian Boarding School Using Self-Adaptive Hybrid Genetic Algorithms
Published 2011“…Hybridization technique of local search method and self-adaptive strategy have improved the performance of traditional genetic algorithm through balanced exploitation and exploration scheme. …”
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Two-stage feature selection using ranking self-adaptive differential evolution algorithm for recognition of acceleration activity
Published 2018“…On the other hand, an evolutionary algorithm has proven its effectiveness in searching the best feature subsets. …”
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Improving the Muskingum flood routing method using a hybrid of particle swarm optimization and bat algorithm
Published 2023“…Decision making; Disaster prevention; Floods; Routing algorithms; Water resources; Absolute deviations; Bat algorithms; Comparative analysis; Computational time; Flood routing; Muskingum models; Particle swarm optimization algorithm; Swarm algorithms; Particle swarm optimization (PSO); accuracy assessment; algorithm; comparative study; decision making; flood; flood forecasting; flood routing; numerical method; optimization; parameter estimation; water resource; United Kingdom; United States…”
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