Search Results - (( developing total function algorithm ) OR ( based application using algorithm ))
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1
Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…The proposed population-based SKF algorithm and the single solution-based SKF algorithm use the scalar model of discrete Kalman filter algorithm as the search strategy to overcome these flaws. …”
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2
Novel techniques for voltage stability assessment and improvement in power system / Ismail Musirin.
Published 2004“…The FVSI was used as the objective function for the developed optimisation technique. …”
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3
Network reconfiguration and control for loss reduction using genetic algorithm
Published 2010“…While in the 49-bus system the existing 7 capacitors are rearrange using Genetic Algorithm in obtaining minimal total power losses. …”
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4
Effort Estimation Model for Function Point Measurement
Published 2007“…This research work has generated an algorithmic effort estimation model for function points measurement. …”
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5
A FUZZY LOGIC ALGORITHM FOR HEART RATE MONITORING
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6
A new hybrid deep neural networks (DNN) algorithm for Lorenz chaotic system parameter estimation in image encryption
Published 2023“…The fitness function used is the correlation function in the SKF algorithm to optimize the cipher image produced using the Lorenz system. …”
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7
Development of an integrated scheduling model for handling equipment in automated port container terminals
Published 2014“…As the integrated scheduling of handling equipment is a “non-deterministic polynomialtime hard” (NP-hard) problem and also the computation time and ease of application are so important for real practices of the scheduling methods, So a meta-heuristic algorithm based on Genetic Algorithm is developed, in which, new operators create solutions considering the constraints of the problem and also a heuristic rule proposed which assigns the ALVs to the tasks. …”
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8
Improved Stereo Vision Algorithms For Robot Navigation
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9
A comparative study of clonal selection algorithm for effluent removal forecasting in septic sludge treatment plant
Published 2015“…The development of effluent removal prediction is crucial in providing a planning tool necessary for the future development and the construction of a septic sludge treatment plant (SSTP), especially in the developing countries. …”
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10
Hybrid evolutionarybarnacles mating optimisation-artificial neural network based technique for solving economic power dispatch planning and operation / Nor Laili Ismail
Published 2024“…Subsequently, a new multi-objective optimisation technique named Multi-Objective Hybrid Evolutionary-Barnacles Mating Optimisation (MOHEBMO) was developed to solve the minimization problems involving the total generation cost and total emission of harmful gasses in a multi-objective mode. …”
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11
Development of a multi-objective optimization model for transport and environment in a closed-loop automotive supply chain
Published 2014“…Therefore, various meta-heuristic algorithms have been tried by researchers. In this research, a new Multi-Objective Logistics Network Model for Automotive Closed-Loop Supply Chain (MOACLSC) for recovering ELVs was developed. …”
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12
Dynamic obstacle handling in multi-robot coverage
Published 2024“…The Modified Lloyd’s algorithm was also tested under two different scenarios to evaluate its functionality. …”
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13
Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process
Published 2004“…Artificial Neural Network (ANN) was selected from Machine Learning Algorithms to be the learning algorithm. ANN is a computer-based simulation of the living nervous system which works quite differently from conventional programming. …”
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14
Optimization of Digital Electronic Circuit Structure Design Using Genetic Algorithm
Published 2008“…The results show that the proposed method is able to produce the optimized circuit with lesser number of gates compared to the conventional methods. In the future development, the proposed system can be used as the discrete controller when it implemented in the process control application.…”
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15
Safe experimentation dynamics algorithm for data-driven PID controller of a class of underactuated systems
Published 2019“…Thirty trials have been performed to evaluate the SED, norm limited SPSA (NL-SPSA), global norm limited SPSA (G-NL-SPSA), and RS algorithms in each example. Next, when the pre-stated termination condition is fitted, each method is evaluated based on the statistical analysis involving the objective function, the total norm of the error and total norm of the input. …”
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16
Safe experimentation dynamics algorithm for data-driven PID controller of a class of underactuated systems
Published 2019“…Thirty trials have been performed to evaluate the SED, norm limited SPSA (NL-SPSA), global norm limited SPSA (G-NL-SPSA), and RS algorithms in each example. Next, when the pre-stated termination condition is fitted, each method is evaluated based on the statistical analysis involving the objective function, the total norm of the error and total norm of the input. …”
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17
Stereo matching algorithm using census transform and segment tree for depth estimation
Published 2023“…This article proposes an algorithm for stereo matching corresponding process that will be used in many applications such as augmented reality, autonomous vehicle navigation and surface reconstruction. …”
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18
An Application of Grey Wolf Optimizer for Solving Combined Economic Emission Dispatch Problems
Published 2014“…Grey Wolf Optimizer (GWO) is a newly proposed algorithm that developed based on inspiration of grey wolves (Canis Lupus). …”
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19
Modeling flood occurences using soft computing technique in southern strip of Caspian Sea Watershed
Published 2012“…In recent years soft computing methods like fuzzy logic and genetic algorithm are being used in modeling complex processes of hydrologic events. …”
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20
One-step block methods for solving ordinary and delay differential equations
Published 2011“…The numerical results showed that the developed methods are better in terms of number of total steps,failure steps and function when compared with the existing methods in most problems tested. …”
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