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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
A comparative analysis of three most commonly used path planning algorithms, i.e. A* Algorithm, Genetic Algorithm and Ant Colony Optimization, is presented in this book. The algorithm simulations are compared based upon their performance in terms of Path length, Execution time and Error norm. The simulation results are validated with the support of experimental results, obtained using a mobile robot built especially for this purpose. This analysis, supported by the simulation and experimental results, helps in the selection of the best path planning algorithms for various applications.
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
A comparative analysis of three most commonly used path planning algorithms, i.e. A* Algorithm, Genetic Algorithm and Ant Colony Optimization, is presented in this book. The algorithm simulations are compared based upon their performance in terms of Path length, Execution time and Error norm. The simulation results are validated with the support of experimental results, obtained using a mobile robot built especially for this purpose. This analysis, supported by the simulation and experimental results, helps in the selection of the best path planning algorithms for various applications.