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Showing 1 - 18 results of 18 for search '(( genetic algorithm its processing ) OR ( genetic algorithm fa processing ))*', query time: 0.11s Refine Results
  1. 1
    A Review of the Genetic Algorithm and JAYA Algorithm Applications

    A Review of the Genetic Algorithm and JAYA Algorithm Applications by Abu Zitar, Raed

    Published 2022
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  2. 2
    Genetic and heuristic algorithms for regrouping service sites. (c2000)

    Genetic and heuristic algorithms for regrouping service sites. (c2000) by Tabbara, Hiba

    Published 2000
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  3. 3
    Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network

    Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network by Mohammad Reza Chalak Qazani (13893261)

    Published 2024
    “…Additionally, the multi-objective genetic algorithm (MOGA) was utilised to extract the most optimal parameters for the injection moulding process, aiming to minimise shear and residual stress and thereby increase the resistance of the final product. …”
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  4. 4
    An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling

    An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling by ALKETBI, SAIF

    Published 2016
    “…The main contribution of the proposed scheduler is its ability to incorporate uncertainty in scheduling process. …”
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  5. 5
    A flexible genetic algorithm-fuzzy regression approach for forecasting: The case of bitumen consumption

    A flexible genetic algorithm-fuzzy regression approach for forecasting: The case of bitumen consumption by Azadeh, Ali

    Published 2019
    “…Design/methodology/approach In the proposed approach, the parameter tuning process is performed on all parameters of genetic algorithm (GA), and the finest coefficients with minimum errors are identified. …”
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  6. 6
    Optimization of Commercially Off the Shelf (COTS) Electric Propulsion System for Low Speed Fuel Cell UAV

    Optimization of Commercially Off the Shelf (COTS) Electric Propulsion System for Low Speed Fuel Cell UAV by Zulkifli, Muhammad

    Published 2013
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  7. 7
    Tensile Test Optimization Using the Design of Experiment and Soft Computing

    Tensile Test Optimization Using the Design of Experiment and Soft Computing by Mehdi Moayyedian (14880358)

    Published 2023
    “…This study employs a hybrid soft computing approach, integrating an adaptive network-based fuzzy inference system (ANFIS), genetic algorithm (GA) optimization, and design of experiments (DOE). …”
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  8. 8
    Island flower pollination algorithm for global optimization

    Island flower pollination algorithm for global optimization by Al-Betar, Mohammed Azmi

    Published 2019
    “…Like other evolutionary algorithms, FPA has a chronic shortcoming that lies in its inability to maturely converge. …”
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  9. 9
    A genetic-based fuzzy logic power system stabilizer formultimachine power systems

    A genetic-based fuzzy logic power system stabilizer formultimachine power systems by Abido, M.A.

    Published 1997
    “…This paper presents a novel approach to combine genetic algorithms (GA) with fuzzy logic systems to design a genetic-based fuzzy logic power system stabilizer (GFLPSS) for multimachine power systems. …”
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  10. 10
    Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information

    Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information by M. Ghoniem, Rania

    Published 2019
    “…For classifying unimodal data of either speech or EEG, a hybrid fuzzy c-means-genetic algorithm-neural network model is proposed, where its fitness function finds the optimal fuzzy cluster number reducing the classification error. …”
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  11. 11
    DASSI: differential architecture search for splice identification from DNA sequences

    DASSI: differential architecture search for splice identification from DNA sequences by Shabir Moosa (14153316)

    Published 2022
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  12. 12
    DNA Base-Calling Techniques

    DNA Base-Calling Techniques by Odeh, Fadi

    Published 2008
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  13. 13
    Improving Rule Set Based Software Quality Prediction

    Improving Rule Set Based Software Quality Prediction by Azar, Danielle

    Published 2003
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  14. 14
    Pre-production movie rating prediction using machine learning. (c2017)

    Pre-production movie rating prediction using machine learning. (c2017) by Gerges, Firas Abdallah

    Published 2017
    “…In this work, we present several machine learning techniques (Support Vectors Machine, K-Nearest Neighbors, C5, Neural Networks and Case-Based Reasoning) along with a genetic algorithm to predict the success of a movie before its production using the IMDB rating as an indicator of the success. …”
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  15. 15
    Reliability and fault tolerance based topological optimization of computer networks - part II: iterative techniques

    Reliability and fault tolerance based topological optimization of computer networks - part II: iterative techniques by Abd-El-Barr, Mostafa

    Published 2003
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  16. 16
    Tuning of a fuzzy logic power system stabilizer using geneticalgorithms

    Tuning of a fuzzy logic power system stabilizer using geneticalgorithms by Abido, M.A.

    Published 1997
    “…The proposed approach uses genetic algorithms (GA) to search for optimal or near optimal settings of fuzzy logic power system stabilizer (FLPSS) parameters. …”
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  17. 17
    Parametric Design Optimization in Sustainable Urban Design: In Hot Climate

    Parametric Design Optimization in Sustainable Urban Design: In Hot Climate by Musleh, Mousa A. M.

    Published 2012
    “…This research employs Genetic algorithms as the computational design methodology to achieve parametric design optimization to design for a more sustainable cities and urban. …”
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  18. 18
    Dynamic single node failure recovery in distributed storage systems

    Dynamic single node failure recovery in distributed storage systems by Itani, M.

    Published 2017
    “…To minimize the system repair cost, we formulate our problem using incidence matrices and solve it heuristically using genetic algorithms for all possible cases of single node failures. …”
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