Search Results - (( based optimization based algorithm ) OR ( using system path algorithm ))
Search alternatives:
- path algorithm »
- using system »
-
1
Guidance system based on Dijkstra-ant colony algorithm with binary search tree for indoor parking system
Published 2021“…This solution depending on applying the optimization on an optimal path while the traditional ACO is optimizing the random path based on the greedy algorithm hence we get the most optimal path. …”
Get full text
Get full text
Get full text
Article -
2
A hybrid sampling-based path planning algorithm for mobile robot navigation in unknown environments
Published 2013“…Finally, 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 to increase the optimality and stability rates of the proposed path planning algorithm. …”
Get full text
Get full text
Thesis -
3
A Novel Integrating Between Tool Path Optimization Using An ACO Algorithm And Interpreter For Open Architecture CNC System
Published 2021“…Furthermore, high-performing Ant Colony Optimization (ACO) algorithms were used to optimize the travel path time. …”
Get full text
Get full text
Get full text
Get full text
Article -
4
Optimizing optimal path trace back system for Smith-Waterman algorithm using structural modelling technique: article
Published 2012“…back system for Smith-Waterman Algorithm using Structural Modelling Technique. …”
Get full text
Get full text
Article -
5
Railway shortest path planner application using ant colony optimization algorithm / Muhammad Hassan Firdaus Ruslan
Published 2017“…For the process module, Ant Colony Optimization (ACO) algorithm was used to find the shortest path. …”
Get full text
Get full text
Thesis -
6
The Development Of A Robust Algorithm For Uav Path Planning In 3d Environment
Published 2016“…Significant research has been conducted on Unmanned Aerial Vehicle (UAV) path planning using evolutionary algorithms, such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Differential Evolution (DE), and Biogeographic-Based Optimization (BBO). …”
Get full text
Get full text
Thesis -
7
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 -
8
Path optimization using genetic algorithm in laser scanning system
Published 2008“…The GA would base on the real-number representation, namely Real-Coded Genetic Algorithm (RCGA). …”
Get full text
Get full text
Conference or Workshop Item -
9
Simulation of identifying shortest path walkway in library by using ant colony optimization
Published 2012“…The system is used to be error free and the algorithm can effectively solve the shortest path problem.…”
Get full text
Get full text
Undergraduates Project Papers -
10
Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…The proposed embedded system has achieved positive outcomes in comparison to the current system and the traditional algorithm with regards to the shortest path. …”
Get full text
Get full text
Thesis -
11
Autonomous mobile robots path planning with integrative edge cloud-based ant colony optimization
Published 2025“…To address these challenges, this study proposes an Integrative Edge Cloud-Based Ant Colony Optimization (IECACO) algorithm. …”
Get full text
Get full text
Get full text
Get full text
Article -
12
Optimization Of Two-Dimensional Dual Beam Scanning System Using Genetic Algorithms
Published 2008“…This thesis presents a new approach to optimize the performance of a dual beam optical scanning system in terms of its scanning combinations and speed, using Genetic Algorithm (GA). …”
Get full text
Get full text
Thesis -
13
-
14
An enhanced swap sequence-based particle swarm optimization algorithm to solve TSP
Published 2021“…Since there is no known polynomial-time algorithm for solving large scale TSP, metaheuristic algorithms such as Ant Colony Optimization (ACO), Bee Colony Optimization (BCO), and Particle Swarm Optimization (PSO) have been widely used to solve TSP problems through their high quality solutions. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Article -
15
Transmission path optimization Based on Efficiency Communication System
Published 2022“…This paper points out the research focus of the wireless sensor network transmission path and discusses the optimization problem of the transmission based on grid model. …”
Get full text
Get full text
Get full text
Get full text
Conference or Workshop Item -
16
Path optimization using genetic algorithm in laser scanning system
Published 2023“…The GA would base on the real-number representation, namely Real-Coded Genetic Algorithm (RCGA). …”
Conference paper -
17
Interference avoidance routing and scheduling using multiple transceivers for IEEE 802.16 mesh network
Published 2010“…This algorithm looks for a short path from the subscriber station (SS) node to BS, while the optimal path is achieved when the whole path has the lowest EbMR. …”
Get full text
Get full text
Thesis -
18
Hybrid multiobjective genetic algorithm for integrated dynamic scheduling and routing of jobs and automated guided vehicles in flexible manufacturing systems
Published 2014“…The algorithm used weight mapping crossover (WMX) and Insertion Mutation (IM) as genetic operators for sub-chromosomes represented with priority-based representation. …”
Get full text
Get full text
Thesis -
19
A new routing mechanism for energy-efficient in bluetooth mesh-low power nodes based on wireless sensor network
Published 2023“…In Bluetooth M-LPNWSN systems, virtual ants explore paths based on signal robustness, distances, and energy consumption. …”
Get full text
Get full text
Get full text
Thesis -
20
Resource-Efficient Coverage Path Planning for UAV-Based Aerial IoT Gateway
Published 2023“…The EECPP is composed of two algorithms: the Stop Point Prediction Algorithm using K-Means, and Path Planning Algorithm using Particle Swarm Optimization. …”
Get full text
Get full text
Get full text
Article
