Search Results - (( normal optimization path algorithm ) OR ( variable selection based algorithm ))
Search alternatives:
- normal optimization »
- optimization path »
- selection based »
- path algorithm »
- variable »
-
1
Modelling of multi-robot system for search and rescue
Published 2023“…This report focusses on developing a novel multi-robot path planning algorithm based on the Modified Particles Swarm Optimization (MPSO) algorithm for dynamic environments. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
2
Optimal path planning algorithms in virtual environments
Published 2006“…The main aim of the research was to find an efficient route tour approach that combines path finding, path planning and path optimization algorithm. …”
Get full text
Get full text
Thesis -
3
A modified Q-learning path planning approach using distortion concept and optimization in dynamic environment for autonomous mobile robot
Published 2023“…To this end, three different modes are introduced into the IQL algorithm, namely the normal mode, the distortion mode, and the optimization mode. …”
Get full text
Get full text
Get full text
Article -
4
A modified Q-learning path planning approach using distortion concept and optimization in dynamic environment for autonomous mobile robot
Published 2023“…To this end, three different modes are introduced into the IQL algorithm, namely the normal mode, the distortion mode, and the optimization mode. …”
Get full text
Get full text
Get full text
Article -
5
A modified Q-learning path planning approach using distortion concept and optimization in dynamic environment for autonomous mobile robot
Published 2023“…To this end, three different modes are introduced into the IQL algorithm, namely the normal mode, the distortion mode, and the optimization mode. …”
Get full text
Get full text
Get full text
Article -
6
Adaptive route optimization for mobile robot navigation using evolutionary algorithm
Published 2021“…For example, Ant Colony Optimization (ACO) is an optimization algorithm based on swarm intelligence which is widely used to solve path planning problem. …”
Get full text
Get full text
Get full text
Get full text
Proceedings -
7
An efficient virtual tour : a merging of path planning and optimization
Published 2004“…Furthermore in a large and complicated virtual environment, users are tending to plan their path and navigate in an automatic manner. This paper describes the result of a research project aimed to integrate a path-planning optimization-algorithm and produce an efficient tour in a virtual environment. …”
Get full text
Get full text
Article -
8
Design and analysis of sequence generator module using eulerian path algorithm for DNA fragment assembly / Mustaqim Mohd Subri
Published 2013“…The main objectives of this project is to design the DNA sequence generator module using the Eulerian Path algorithm. This project is designed based on speed optimization. …”
Get full text
Get full text
Student Project -
9
Design and analysis of sequence generator module using eulerian path algorithm for DNA fragment assembly: article / Mustaqim Mohd Subri
Published 2013“…The objective of this project is to design the DNA sequence generator modules using the Eulerian Path Algorithm. This project is designed based on speed optimization. …”
Get full text
Get full text
Article -
10
Particle swarm optimization approach in route navigation for PoSVI-Cane
Published 2023“…Here, Particle Swarm Optimization (PSO) path planning algorithm computes the shortest possible path based on the collection of coordinates along the pedestrian walkway. …”
Get full text
Get full text
Get full text
Article -
11
Algorithms based on spider daddy long legs for finding the optimal route in securing mobile ad hoc networks
Published 2016“…The new method is called the Daddy Long-Legs Algorithm (PGO-DLLA), which modifies the standard AODV and optimizes the routing process. …”
Get full text
Get full text
Get full text
Thesis -
12
Intelligent motion planning of a mobile robot by using convolutional neural network / Siti Asmah Abdullah
Published 2019“…It trains by using labelled data which comes by eight different folders represent the eight different movements; up, up-right, right, right-down, down-left, left, and left-up. By the path reference created by A* algorithm the robot is capable in optimizing its path to reach the designated destination. …”
Get full text
Get full text
Get full text
Thesis -
13
Variable block based motion estimation using hexagon diamond full search algorithm (HDFSA) via block subtraction technique
Published 2015“…The variable block matching developed based on four stages which is the video and frame selection, threshold calculation, block size selection and search pattern. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
14
Improving Network Consistency and Data Availability Using Fuzzy C Mean Clustering Algorithm in Wireless Sensor Networks
Published 2024thesis::doctoral thesis -
15
Taguchi?s T-method with Normalization-Based Binary Bat Algorithm
Published 2025“…Therefore, a variable selection technique using a swarm-based Binary Bat algorithm is proposed. …”
Conference paper -
16
A meta-heuristics based input variable selection technique for hybrid electrical energy demand prediction models
Published 2017“…The focus of the paper is to propose a hybrid approach for the selection of the most influential input variables for the training and testing of neural network based hybrid models. …”
Get full text
Get full text
Article -
17
Robust variable selection methods for large- scale data in the presence of multicollinearity, autocorrelated errors and outliers
Published 2016“…We develop Robust Forward Selection algorithm based on RFCH correlation coefficient (RFS.RFCH) because FS.Winso is not robust to multivariate outliers. …”
Get full text
Get full text
Thesis -
18
A novel swarm-based optimisation algorithm inspired by artificial neural glial network for autonomous robots
Published 2019“…The main idea in this algorithm is the indirect communication between the ants which is established by the means of pheromones in finding the shortest path between their nest and food [14]. …”
Get full text
Get full text
Monograph -
19
Dynamic Bayesian Networks and Variable Length Genetic Algorithm for Dialogue Act Recognition
Published 2007“…In the selection phase, a new variable length genetic algorithm is applied to select the lexical cues. …”
Get full text
Get full text
Thesis -
20
Mixed-variable ant colony optimisation algorithm for feature subset selection and tuning support vector machine parameter
Published 2017“…ACOMV-SVM algorithm is able to simultaneously tune SVM parameters and feature subset selection. …”
Get full text
Get full text
Article
