Search Results - (( program normalization techniques algorithm ) OR ( leave application optimized algorithm ))
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Logic Programming In Radial Basis Function Neural Networks
Published 2013“…Two techniques were developed. The first technique is to encode the logic programming in radial basis function neural networks. …”
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Solving non-convex economic dispatch problem using computational intelligence technique
Published 2023“…Computer programming; Immune system; Scheduling; Artificial Immune System; Computational intelligence techniques; Economic Dispatch; Evolutionary programming algorithms; Log-normal; Non-convex economic dispatches; Reliability test system; Valve-point loading effect; Electric load dispatching…”
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Predicting the optimum compositions of a transdermal nanoemulsion system containing an extract of Clinacanthus nutans leaves (L.) for skin antiaging by artificial neural network mo...
Published 2017“…Hence, ANN was found to be an effective tool for optimizing the nanoemulsion containing C. nutans leaves extract with efficacy to protect collagen from breakdown.…”
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Immune Log-Normal Evolutionary Programming (ILNEP) for solving economic dispatch problem with prohibited operating zones
Published 2023“…Computer programming; Electric power system planning; Electric power systems; Evolutionary algorithms; Immune system; Problem solving; Scheduling; Artificial Immune System; Economic Dispatch; Economic dispatch problems; Electrical power system; Log-normal; Optimization techniques; Prohibited operating zone; Reliability test system; Electric load dispatching…”
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Semi-automatic cortical boundary detection / Noor Elaiza Abdul Khalid.
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Multi -Objective Economic Dispatch Using Evolutionary Programming
Published 2023“…This study focused on solving multi-objectives economic dispatch using Heuristic Optimization (HO) technique which is Multi-Objective Evolutionary Programming (MOEP). …”
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Agent-based extraction algorithm for computational problem solving
Published 2015“…Various CPS techniques have been proposed such as PAC, IPO, Flowchart and Algorithm. …”
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Design Optimization of 3-Phase Rectifier Power Transformers by Genetic Algorithm and Simulated Annealing
Published 2008“…Two non-linear programming techniques, GA and SA are applied for the estimation of transformer design parameters and the results are compared. …”
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Design Optimization of 3-phase rectifier power transformers by Genetic Algorithm and Simulated Annealing
Published 2008“…Two non-linear programming techniques, GA and SA are applied for the estimation of transformer design parameters and the results are compared. …”
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
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Optimal Reactive Power Dispatch for Voltage Stability Improvement Considering Line Contingencies using PSO
Published 2013“…The simulations results are compared with those obtained from the Evolutionary Programming (EP) technique in the attempt to highlight its merit. …”
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Automated recognition of Ficus deltoidea using ant colony optimization technique
Published 2013“…At first, through image processing specified features are extracted from the Ficus deltoidea leaves such as vein, morphology and texture features and they construct a search space to be chosen for the optimal subset features that is selected by ACO algorithm as support vector machine (SVM) classify them. …”
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Design Optimization of 3-phase rectifier power transformers by Genetic Algorithm and Simulated Annealing
Published 2008“…Two non-linear programming techniques, GA and SA are applied for the estimation of transformer design parameters and the results are compared. …”
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Plant identification using combination of fuzzy c-means spatial pyramid matching, gist, multi-texton histogram and multiview dictionary learning
Published 2016“…Most of the existing plant identification methods are based on both the global shape features and the intact plant leaves. However, for the non-intact leaves such as the deformed, partial and overlapped leaves that largely exist in practice, the global shape features are not efficient and these methods are not applicable.The dried leave parts and noise can degrade identification results and affect the quality of the extracted features which lead to poor classification results. …”
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Expansion power system transmission using ant colony optimization: article / Izzataswad Ibrahim
Published 2015“…This paper presents an application of ant colony optimization (ACO) to optimization the expansion transmission in power system. …”
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Recent advances in meta-heuristic algorithms for training multilayer perceptron neural networks
Published 2025“…The study also highlights bibliometric trends, identifies underexplored areas such as adaptive and hybrid algorithms, and emphasizes the practical application of MHAs in optimizing ANN performance. …”
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