Search Results - (( java implication based algorithm ) OR ( case integration process algorithm ))

Refine Results
  1. 1

    Isochronous explicit time integration framework: illustration to thermal stress problems involving both first- and second-order transient systems by Shimada, Masao, Masuri, Siti Ujila, Tamma, Kumar K.

    Published 2014
    “…Similar to the implicit case, the same adaptation process of the isochronous integration is valid for the explicit case. …”
    Get full text
    Get full text
    Get full text
    Article
  2. 2
  3. 3

    Hybrid Spatial-Artificial Intelligence Approach for Renewable Energy Sources Sites Identification and Integration in Sarawak State by Far Chen, Jong

    Published 2022
    “…In each case, the Traveling Salesman Problem-Genetic Algorithm (TSP-GA) algorithm is applied to determine a minimum total distance of RES sites integration. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  4. 4

    Collaboration of integrative processes intermediaries supporting supply chain management by Mohd Tamrin, Mohd Izzuddin, Sembok, Tengku Mohd

    Published 2012
    “…The algorithms are an intermediary processes to provide semi automated assistance to the management team for tighter supply chain integration. …”
    Get full text
    Get full text
    Get full text
    Book Chapter
  5. 5

    Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation by Mat Jani H., Lee S.P.

    Published 2023
    “…GA assists in optimizing the search process and performs machine learning. Within the GA, nearest neighbor algorithm is used in determining the most similar recorded case that can be used in solving the new case. …”
    Conference paper
  6. 6

    Development of an integrated scheduling model for handling equipment in automated port container terminals by Sadeghian, Syed Hamidreza

    Published 2014
    “…In addition, results proved that the modified meta-heuristic algorithm is able to find near optimal solutions and on average, the solutions found by the GA algorithm are only 0.2% worse than the optimal solutions and in the worst case in the test cases this difference is 2.3% which is acceptable. …”
    Get full text
    Get full text
    Thesis
  7. 7

    Optimisation of fed-batch fermentation process using deep reinforcement learning by Chai, Wan Ying

    Published 2023
    “…At the same time, the total ethanol formation is 0.19 g/l and 0.03 g/l lower than the exponential feeding and genetic algorithm, respectively. In other cases of different initial yeast and substrate concentrations, the proposed algorithm in general outperforms the exponential feeding profile while produces comparable results to the genetic algorithm. …”
    Get full text
    Get full text
    Get full text
    Thesis
  8. 8
  9. 9

    Hybrid fuzzy-sliding mode observer design for estimation and advanced control of an ethylene polymerization process / Jarinah Mohd Ali by Jarinah , Mohd Ali

    Published 2017
    “…Both the second and third cases are behaving like practical cases. Polymerization reactor for producing polyethylene plant is chosen as the case study to observe the performances of both the fuzzy-SMO and the embedded integrator MPC. …”
    Get full text
    Get full text
    Get full text
    Thesis
  10. 10

    The development of integrated planning and scheduling framework for dynamic and reactive environment of complex manufacturing problem by Zakaria, Zalmiyah, Deris, Safaai, Mat Yatim, Safie, Othman, Muhamad Razib

    Published 2008
    “…Secondly, in Chapter 2 we described the modeling of the real world manufacturing processes using Petri Nets. We present two models of manufacturing process, namely machine model and process model. …”
    Get full text
    Get full text
    Get full text
    Monograph
  11. 11

    Hybrid Artificial Bees Colony Algorithms For Optimizing Carbon Nanotubes Characteristics by Mohammad Jarrah, Mu'ath Ibrahim

    Published 2018
    “…Optimization is a crucial process to select the best parameters in single and multi-objective problems for manufacturing process.However,it is difficult to find an optimization algorithm that obtain the global optimum for every optimization problem.Artificial Bees Colony (ABC) is a well-known swarm intelligence algorithm in solving optimization problems.It has noticeably shown better performance compared to the state-of-art algorithms.This study proposes a novel hybrid ABC algorithm with β-Hill Climbing (βHC) technique (ABC-βHC) in order to enhance the exploitation and exploration process of the ABC in optimizing carbon nanotubes (CNTs) characteristics.CNTs are widely used in electronic and mechanical products due to its fascinating material with extraordinary mechanical,thermal,physical and electrical properties. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  12. 12
  13. 13

    Input Information in the Approximate Calculation of Two-Dimensional Integral from Highly Oscillating Functions (Irregular Case) by Lytvyn, Oleg M., Nechuiviter, Olesia, Pershyna, Iuliia, Mezhuyev, Vitaliy

    Published 2019
    “…The paper is dedicated to the improvement of mathematical models of digital signal processing and imaging by the example of constructing formulas of approximate calculation of integrals of highly oscillating functions of two variables (irregular case). …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  14. 14

    Exploring High Resolution Test Pattern To Improve The Cache Failure Analysis by Ong, Chein Ee

    Published 2017
    “…The resolution of test algorithm plays an important role in helping FA process to identify every single failing bits in cache array. …”
    Get full text
    Get full text
    Thesis
  15. 15

    Multi-objective multi-verse optimiser for integrated two-sided assembly sequence planning and line balancing by Mohd Fadzil Faisae, Ab Rashid, Nik Mohd Zuki, Nik Mohamed, Ahmad Nasser, Mohd Rose

    Published 2022
    “…The case study results indicated the applicability of proposed 2S-ASPLB model and algorithm to improve line efficiency in assembly line. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  16. 16

    Adopting genetic algorithm to enhance state-sensitivity partitioning by Sultan, Ammar Mohammed, Baharom, Salmi, Abd Ghani, Abdul Azim, Din, Jamilah, Zulzalil, Hazura

    Published 2015
    “…The technique used in generating test cases may lead to effective and efficient software testing process. …”
    Get full text
    Get full text
    Conference or Workshop Item
  17. 17

    Adopting genetic algorithm to enhance state-sensitivity partitioning by Mohammed Sultan, Ammar, Baharom, Salmi, Abd Ghani, Abdul Azim, Din, Jamilah, Zulzalil, Hazura

    Published 2015
    “…Genetic algorithm (GA) has been identified as the most common potential technique among several optimization techniques.Thus, GA is investigated for the integrating with the existing SSP. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  18. 18

    A fuzzy case-based reasoning model for software requirements specifications quality assessment by Mostafa S.A., Gunasekaran S.S., Khaleefah S.H., Mustapha A., Jubair M.A., Hassan M.H.

    Published 2023
    “…The input to the nearest cases algorithm is the relevant cases and the output is the nearest cases. …”
    Article
  19. 19

    CS-FuzGA-PTS: Maximizing fault detection through optimizing t-way test suite prioritization based on boundary value analysis by Abdullah, Nasser, Kader, Md Abdul, Alsewari, Abdulrahman A., Suliman, Mohamed Fati, Abdullah, Nibras, Diaba, Sayawu Yakubu, Jabbar, Waheb A.

    Published 2024
    “…The core of CS-FuzGA-PTS lies in a new optimization algorithm called CS-FuzGA as a search algorithm. The algorithm integrates adaptive fuzzy logic-controlled Genetic Algorithm (GA) operators with Cuckoo Search (CS). …”
    Get full text
    Get full text
    Get full text
    Article
  20. 20