Search Results - (( variable affecting genetic algorithm ) OR ( java interactive learning algorithm ))

Search alternatives:

Refine Results
  1. 1
    Teaching and learning via chatbots with immersive and machine learning capabilities

    Teaching and learning via chatbots with immersive and machine learning capabilities by Nantha Kumar Subramaniam

    Published 2019
    “…These chatbots support learning of Java via problem-solving steps through “learning by doing”. …”
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  2. 2
    Optimization of Machining Parameters in Turning for Different Hardness using Multi-Objective Genetic Algorithm

    Optimization of Machining Parameters in Turning for Different Hardness using Multi-Objective Genetic Algorithm by Mimi Muzlina, Mukri, Nor Atiqah, Zolpakar, Pathak, Sunil

    Published 2023
    “…During machining operations, choosing optimal machining parameters is critical since it affects the machining outcome. In this work, Multi-Objective Genetic Algorithm (MOGA) optimization is used to find the combination of machining parameters at different levels of hardness of 20, 36, and 43 to obtain minimum surface roughness and minimum cutting temperature in turning operation. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  3. 3
    A review of crossover methods and problem representation of genetic algorithm in recent engineering applications

    A review of crossover methods and problem representation of genetic algorithm in recent engineering applications by Zainuddin, Farah Ayiesya, Abd Samad, Md Fahmi

    Published 2020
    “…The algorithm operates on three simple genetic operators called selection, crossover and mutation. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  4. 4
    To study the multi-objective optimization of EDM using genetic algorithm

    To study the multi-objective optimization of EDM using genetic algorithm by Fairuz, Idris

    Published 2013
    “…In the process of the study, the second- order mathematical model has been create as a fitness function using MATLAB software to generate multi-objective optimization responses using Genetic Algorithms, peak current, pulse-on time, pulse-off time and servo voltage are act as input of parameter setting. …”
    Get full text
    Get full text
    Undergraduates Project Papers
    Save to List
    Saved in:
  5. 5
    Optimization of machining parameters in turning for different hardness using multi-objective genetic algorithm / Mimi Muzlina Mukri, Nor Atiqah Zolpaka and Sunil Pathak

    Optimization of machining parameters in turning for different hardness using multi-objective genetic algorithm / Mimi Muzlina Mukri, Nor Atiqah Zolpaka and Sunil Pathak by Mukri, Mimi Muzlina, Zolpaka, Nor Atiqah Zolpaka, Pathak, Sunil

    Published 2023
    “…During machining operations, choosing optimal machining parameters is critical since it affects the machining outcome. In this work, Multi-Objective Genetic Algorithm (MOGA) optimization is used to find the combination of machining parameters at different levels of hardness of 20, 36, and 43 to obtain minimum surface roughness and minimum cutting temperature in turning operation. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  6. 6
    CAT CHAOTIC GENETIC ALGORITHM BASED TECHNIQUE AND HARDWARE PROTOTYPE FOR SHORT TERM ELECTRICAL LOAD FORECASTING

    CAT CHAOTIC GENETIC ALGORITHM BASED TECHNIQUE AND HARDWARE PROTOTYPE FOR SHORT TERM ELECTRICAL LOAD FORECASTING by ISLAM, BADAR UL ISLAM

    Published 2017
    “…ANN based STLF models commonly use back-propagation algorithm, which generally exhibits a slow and improper convergence that affects the forecast accuracy. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  7. 7
    Optimal planning of energy storage system for hybrid power system considering multi correlated input stochastic variables

    Optimal planning of energy storage system for hybrid power system considering multi correlated input stochastic variables by ALAhmad A.K., Verayiah R., Ramasamy A., Marsadek M., Shareef H.

    Published 2025
    “…This optimization problem is solved by the hybrid non-dominated sorting genetic algorithm (NSGAII) and the multi-objective particle swarm optimization (MOPSO). …”
    Article
    Save to List
    Saved in:
  8. 8
    Optimization of Turning Parameters to Minimize Production Cost using Genetic Algorithm

    Optimization of Turning Parameters to Minimize Production Cost using Genetic Algorithm by M. F. F., Ab Rashid, Shah, Izwandi

    Published 2009
    “…The parameter setting will affects a few independent variables such as surface roughness, cutting force, machining time, machining cost and so on. …”
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  9. 9
    Predicting crop yield and field energy output for oil palm using genetic algorithm and neural network models

    Predicting crop yield and field energy output for oil palm using genetic algorithm and neural network models by Hilal, Yousif Yakoub

    Published 2019
    “…Finally, this research concluded that a genetic algorithm is useful for selecting input variables in oil palm production. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  10. 10
    Optimization of medical image steganography using n-decomposition genetic algorithm

    Optimization of medical image steganography using n-decomposition genetic algorithm by Al-Sarayefi, Bushra Abdullah Shtayt

    Published 2023
    “…To overcome these limitations, this study proposes a technique known as an n-decomposition genetic algorithm. This algorithm uses a variable-length search to identify the best location to embed the secret message by incorporating constraints to avoid local minimum traps. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  11. 11
    A rule-based energy management system for hybrid renewable energy sources with battery bank optimized by genetic algorithm optimization

    A rule-based energy management system for hybrid renewable energy sources with battery bank optimized by genetic algorithm optimization by Jamal S., Pasupuleti J., Ekanayake J.

    Published 2025
    “…However, this process is affected by several factors, like load variability, market pricing, and the intermittent nature of Wind Turbines (WTs) and Photovoltaic (PV) systems. …”
    Article
    Save to List
    Saved in:
  12. 12
    Analysis of vehicular traffic flow of main road and alternative road in Kuala Terengganu / Nur Aribah Farzana Arifen & Nur Aiman Salsabila Hashim

    Analysis of vehicular traffic flow of main road and alternative road in Kuala Terengganu / Nur Aribah Farzana Arifen & Nur Aiman Salsabila Hashim by Arifen, Nur Aribah Farzana, Hashim, Nur Aiman Salsabila

    Published 2019
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  13. 13
    Modeling flood occurences using soft computing technique in southern strip of Caspian Sea Watershed

    Modeling flood occurences using soft computing technique in southern strip of Caspian Sea Watershed by Borujeni, Sattar Chavoshi

    Published 2012
    “…Modeling of hydrological process has been increasingly complicated since we need to take into consideration an increasing number of descriptive variables. In recent years soft computing methods like fuzzy logic and genetic algorithm are being used in modeling complex processes of hydrologic events. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  14. 14
    Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform

    Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform by Alias, Norma, Satam, Noriza, Abd. Ghaffar, Zarith Safiza, Darwis, Roziha, Hamzah, Norhafiza, Islam, Md. Rajibul

    Published 2009
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  15. 15
    Production quantity estimation using an improved artificial neural network

    Production quantity estimation using an improved artificial neural network by Dzakiyullah, Raden Nur Rachman

    Published 2015
    “…In order to increase the performance of NNBP, optimization techniques such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) are being hybrid with the ANN model to become Hybrid Neural Network Genetic Algorithm (HNNGA) model and Hybrid Neural Network Particle Swarm Optimization (HNNPSO) model respectively. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  16. 16
    A hybrid sampling-based path planning algorithm for mobile robot navigation in unknown environments

    A hybrid sampling-based path planning algorithm for mobile robot navigation in unknown environments by Khaksar, Weria

    Published 2013
    “…The genetic optimizer also evaluates the fuzzy rules and selects those rules that directly affect the performance of the planner and ignores irrelevant and erroneous fuzzy rules. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  17. 17
    Non-weighted aggregate evaluation function of multi-objective optimization for knock engine modeling

    Non-weighted aggregate evaluation function of multi-objective optimization for knock engine modeling by Witwit, Azher Razzaq Hadi

    Published 2017
    “…It also aims to optimize the nonlinear nature of the factors by using Genetic Algorithm (GA) as well as investigate the behavior of such function. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  18. 18
    Clinical relevance of VKORC1 (G-1639A and C1173T) and CYP2C9*3 among patients on warfarin

    Clinical relevance of VKORC1 (G-1639A and C1173T) and CYP2C9*3 among patients on warfarin by Teh, L. K., Langmia, I. M., M. H., Fazleen Haslinda, Ngow, Harris Abdullah, Roziah, M. J., Harun, R., Zakaria, Z. A., Salleh, M. Z.

    Published 2011
    “…Other important influential factors affecting warfarin dose requirement remain to be identified.…”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  19. 19
    Acoustic emission partial discharge localization in oil based on artificial bee colony

    Acoustic emission partial discharge localization in oil based on artificial bee colony by Lim, Zhi Yang, Azis, Norhafiz, Mohd Hashim, Ahmad Hafiz, Mohd Radzi, Mohd Amran, Norsahperi, Nor Mohd Haziq, Mohd Ariffin, Azrul

    Published 2025
    “…Comparisons with the genetic algorithm (GA), particle swarm optimization (PSO) and bat algorithm (BA) revealed that the distance error, maximum deviation and computation time for AE PD localization based on ABC are the lowest. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  20. 20
    Developing an android application for exercise routine based on fuzzy inference system / Norhamizah Aqilah Ahmad Ramlee, Nur Nadiyatul Husna Zainol Hisham and Nur Fadillah Rosli

    Developing an android application for exercise routine based on fuzzy inference system / Norhamizah Aqilah Ahmad Ramlee, Nur Nadiyatul Husna Zainol Hisham and Nur Fadillah Rosli by Ahmad Ramlee, Norhamizah Aqilah, Zainol Hisham, Nur Nadiyatul Husna, Rosli, Nur Fadillah

    Published 2019
    Get full text
    Get full text
    Student Project
    Save to List
    Saved in:

Search Tools: