Search Results - (( a constructive path algorithm ) OR ( using optimization learning algorithm ))

Refine Results
  1. 1

    Development of a motion planning and obstacle avoidance algorithm using adaptive neuro fuzzy inference system for mobile robot navigation by Muslim, Farah Kamil Abid

    Published 2017
    “…An adaptive neuro-fuzzy inference system (ANFIS) was designed which constructs and optimizes a fuzzy logic controller using a given dataset of input/output variables in order for the mobile robot to learn. …”
    Get full text
    Get full text
    Get full text
    Thesis
  2. 2

    The duality of technological innovation and dynamic capabilities: the micro-foundation of China's construction machinery industry's rise up the global value chain by Xia, Weifu, Alwie, Aryaty, Taasim, Shairil Izwan, Jin, Wong Tze, Naning, Fatin Hana

    Published 2024
    “…The study adopts a mixed research method, combining large-scale patent data analysis and in-depth case study, and constructs a longitudinal data set of 146 Chinese construction machinery enterprises from 2005 to 2022. …”
    Get full text
    Get full text
    Get full text
    Article
  3. 3

    A generalized laser simulator algorithm for optimal path planning in constraints environment by Aisha, Muhammad

    Published 2022
    “…Path planning refers to a robot's search for a collision-free and optimal path from a start point to a predefined goal position in a given environment. …”
    Get full text
    Thesis
  4. 4

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

    Published 2013
    “…Sampling-based motion planning is a class of randomized path planning algorithms with proven completeness. …”
    Get full text
    Get full text
    Thesis
  5. 5

    Route optimization using shortest path method / Muhamad Faisal Amin Shakri by Shakri, Muhamad Faisal Amin

    Published 2025
    “…This study investigated the implementation and comparison between well known shortest path method which are Dijkstra’s algorithm, Bellman-Ford, and A* algorithm. …”
    Get full text
    Get full text
    Thesis
  6. 6

    Performance comparison between genetic algorithm and ant colony optimization algorithm for mobile robot path planning in global static environment / Nohaidda Sariff by Sariff, Nohaidda

    Published 2011
    “…In the initial stage, the test environments were constructed. Subsequently, both algorithms were applied to the test environments. …”
    Get full text
    Get full text
    Thesis
  7. 7
  8. 8

    Wi-fi fingerprint database construction using Chebyshev wavelet functions by Narzullaev, Anvar, Nemadaliev, Azamjon, Selamat, Mohd Hasan, Othman, Mohamed, Sharif, Khaironi Yatim

    Published 2015
    “…Our algorithm requires only a few samples to be collected in a given region, and thus significantly reduces the calibration time. …”
    Get full text
    Get full text
    Conference or Workshop Item
  9. 9

    An efficient algorithm to improve oil-gas pipelines path by Hasan Almaalei, Nabeel Naeem, Mohd Razali, Siti Noor Asyikin, Mohammed Alduais, Nayef Abdulwahab

    Published 2018
    “…Therefore, the aim of this study is to propose a new algorithm to obtain the shortest path connecting oil-gas wells and addressing obstacles that may appear on the path connecting any two wells. …”
    Get full text
    Article
  10. 10

    Fuzzy adaptive teaching learning-based optimization for solving unconstrained numerical optimization problems by Din, Fakhrud, Khalid, Shah, Fayaz, Muhammad, Gwak, Jeonghwan, Kamal Z., Zamli, Mashwani, Wali Khan

    Published 2022
    “…Teaching learning-based optimization is one of the widely accepted metaheuristic algorithms inspired by teaching and learning within classrooms. …”
    Get full text
    Get full text
    Get full text
    Article
  11. 11

    An optimized variant of machine learning algorithm for datadriven electrical energy efficiency management (D2EEM) by Shamim, Akhtar

    Published 2024
    “…Therefore, in this study a new optimized variant of machine learning algorithms is presented. …”
    Get full text
    Get full text
    Thesis
  12. 12

    The impact of clustering on the average path length in wireless sensor networks by Aziz, A.A., Şekercioğlu, Y. A.

    Published 2015
    “…Clustering algorithms have been widely used in wireless sensor networks for virtual backbone construction. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  13. 13

    Shortest path from Bandar Tun Razak to Berjaya Times Square using Dijkstra Algorithm / Nur Syuhada Muhammat Pazil ... [et al.] by Muhammat Pazil, Nur Syuhada, Mahmud, Norwaziah, Jamaluddin, Siti Hafawati, Mustafa, Nur Farasyaqirra

    Published 2020
    “…Nevertheless, both time and cost of shortest path are constructed in different paths. The time and cost of the journey are described by driving a car from Bandar Tun Razak to Lebuhraya SMART to Kampung Pandan, then Berjaya Times Square. …”
    Get full text
    Get full text
    Get full text
    Article
  14. 14
  15. 15

    An improved artificial bee colony algorithm for training multilayer perceptron in time series prediction by Shah, Habib

    Published 2014
    “…Backpropagation (BP) learning algorithm is the well-known learning technique that trained ANN. …”
    Get full text
    Get full text
    Get full text
    Thesis
  16. 16

    Optimizing optimal path trace back for Smith-Waterman algorithm using structural modelling technique by Saliman, Nur Farah Ain

    Published 2012
    “…The optimizing of optimal path trace back system for Smith-Waterman algorithm using structural modelling techniques are presented in this paper. …”
    Get full text
    Get full text
    Student Project
  17. 17

    Optimal QoS aware multiple paths web service composition using heuristic algorithms and data mining techniques by Qtaish, Osama Kayed Taher

    Published 2014
    “…However, when compositions contain more than one execution path (i.e., multiple path's compositions), it is difficult to generate a composite service that simultaneously optimizes all the execution paths involved in the composite service at the same time while meeting the QoS requirements. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  18. 18

    Particle swarm optimization for neural network learning enhancement by Abdull Hamed, Haza Nuzly

    Published 2006
    “…To overcome this problem, Genetic Algorithm (GA) has been used to determine optimal value for BP parameters such as learning rate and momentum rate and also for weight optimization. …”
    Get full text
    Get full text
    Thesis
  19. 19
  20. 20

    Using the evolutionary mating algorithm for optimizing deep learning parameters for battery state of charge estimation of electric vehicle by Mohd Herwan, Sulaiman, Zuriani, Mustaffa, Nor Farizan, Zakaria, Mohd Mawardi, Saari

    Published 2023
    “…This paper presents the application of a recent metaheuristic algorithm namely Evolutionary Mating Algorithm (EMA) for optimizing the Deep Learning (DL) parameters to estimate the state of charge (SOC) of a battery for an electric vehicle in the real environment. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article