Search Results - (( _ optimisation modified algorithm ) OR ( parameter optimization path algorithm ))
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1
A 'snowflake' geometrical representation for optimised degree six 3-modified chordal ring networks
Published 2016“…A tree visualisation was constructed based on its connectivity to enable the generation of formulae for optimal diameter and average optimal path lengths. …”
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Conference or Workshop Item -
2
Cognitive map approach for mobility path optimization using multiple objectives genetic algorithm
Published 2023Subjects:Conference Paper -
3
Performance comparison between genetic algorithm and ant colony optimization algorithm for mobile robot path planning in global static environment / Nohaidda Sariff
Published 2011“…The objective is to verify and compare the effectiveness of both algorithms in finding the optimal robot path in different types of global map environments. …”
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Thesis -
4
A hybrid sampling-based path planning algorithm for mobile robot navigation in unknown environments
Published 2013“…Afterward, a genetic algorithm-based optimization framework was designed to improve the interpretability and accuracy of the proposed fuzzy-tabu controller by optimizing the parameters of the FLC and also some of the planner’s parameters in order to improve the quality of the generated paths and runtimes of the planner and also to decrease the variation of the results in different runs of the planner. …”
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Thesis -
5
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. …”
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Final Year Project / Dissertation / Thesis -
6
The Implementation of Genetic Algorithm in Path Optimization
Published 2005“…Therefore, the implementation ofGA in path optimization can be ascertained offering a compelling result.…”
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Final Year Project -
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Evaluation of robot path planning algorithms in global static environments: genetic algorithm vs ant colony optimization algorithm / Nohaidda Sariff and Norlida Buniyamin
Published 2010“…This paper presents the application of Genetic Algorithm and Ant Colony Optimization (ACO) Algorithm for robot path planning (RPP) in global static environment. …”
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Article -
8
Bats echolocation-inspired algorithms for global optimisation problems
Published 2016“…A modified adaptive bats sonar algorithm is then proposed for solving constrained optimisation problems. …”
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Thesis -
9
A modified artificial bee colony algorithm to optimise integrated assembly sequence planning and assembly line balancing
Published 2019“…This paper proposed a modified Artificial Bee Colony algorithm (MABC) to optimise the integrated ASP and ALB problem. …”
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Article -
10
Dual level searching approach for solving multi objective optimisation problems using hybrid particle swarm optimisation and bats echolocation-inspired algorithms
Published 2019“…A dual level searching approach for multi objective optimisation problems using particle swarm optimisation and modified adaptive bats sonar algorithm is presented. …”
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Article -
11
The effect of GA parameters on the performance of GA-based QoS routing algorithm
Published 2023“…Genetic algorithm (GA) is a powerful search and optimization algorithm inspired by the theory of genetics and natural selection. …”
Conference paper -
12
Minimization of tool path length of drilling process using particle swarm optimization (PSO)
Published 2020“…For this study, the main purpose is to apply the Particle Swarm Optimization (PSO) algorithm for use in searching for the optimal tool routing path for in simulation of drilling process…”
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Book Section -
13
A Modified Bats Echolocation-Based Algorithm for Solving Constrained Optimisation Problems
Published 2017“…A modified adaptive bats sonar algorithm (MABSA) is presented that utilises the concept of echolocation of a colony of bats to find prey. …”
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Article -
14
Experiment on modified artificial bee colony for better global optimisation
Published 2014“…Although there are many works have been done in Artificial Bee Colony (ABC) algorithm, yet, there still an issue for faster convergence for this algorithm.This paper will present a modified ABC algorithm to find optimum value for optimisation function.This hybrid ABC algorithm will adapt the modification especially in searching mechanism and probability function.The modified algorithm is tested on general global optimisation functions.The result demonstrates that the proposed algorithm produces better convergence compared to the original algorithm.…”
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Book Section -
15
A hybrid controller method with genetic algorithm optimization to measure position and angular for mobile robot motion control
Published 2023“…Furthermore, this fuzzy inference will be optimized for its usability by a genetic algorithm (GA). …”
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Article -
16
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. …”
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Proceedings -
17
A hybrid controller method with genetic algorithm optimization to measure position and angular for mobile robot motion control
Published 2023“…Furthermore, this fuzzy inference will be optimized for its usability by a genetic algorithm (GA). …”
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Article -
18
A hybrid controller method with genetic algorithm optimization to measure position and angular for mobile robot motion control
Published 2023“…Furthermore, this fuzzy inference will be optimized for its usability by a genetic algorithm (GA). …”
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Article -
19
A hybrid controller method with genetic algorithm optimization to measure position and angular for mobile robot motion control
Published 2023“…Furthermore, this fuzzy inference will be optimized for its usability by a genetic algorithm (GA). …”
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Article -
20
A hybrid controller method with genetic algorithm optimization to measure position and angular for mobile robot motion control
Published 2022“…Furthermore, this fuzzy inference will be optimized for its usability by a genetic algorithm (GA). …”
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