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Optimal path planning for mobile robots using music-inspired algorithms - Couverture souple

Panov, Stojanche; Koceski, Saso

 
9781492807179: Optimal path planning for mobile robots using music-inspired algorithms

Synopsis

The global path planning problem is very challenging NP-complete problem in the domain of robotics. Many metaheuristic approaches have been developed up to date, to provide an optimal solution to this problem. This book presents a novel Quad-Harmony Search (QHS) algorithm based on Quad-tree free space decomposition methodology and Harmony Search optimization.

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À propos de l'auteur

Stojanche Panov obtained his Master’s degree in robotics and artificial intelligence in 2013 at the Faculty of Computer Science, “Goce Delchev” University – Stip. He’s an author or co-author of several journal and conference papers, as well as book chapters. His main research interests are robotics, artificial intelligence algorithms, cryptography and game theory. He’s also a former Microsoft Student Partner and has performed several public presentations on Microsoft technologies. Saso Koceski obtained his PhD in robotics and artificial intelligence in 2009 from the University of L’Aquila, Italy. Currently he is an assistant professor at the Faculty of Computer Science, University "Goce Delcev"-Stip, Macedonia and head of the Institute of Computer Science at University "Goce Delcev"-Stip. He is an author or co-author of more than 50 refereed journal and conference papers and book chapters. He serves as an editor and reviewer in several SCI journals. He has been involved in several international and national scientific and applicative projects (including EU-TEMPUS and EU-COST) as a project coordinator or participant. His current research interests are focused in the field of robotics and artificial intelligence, bioinformatics, HCI and medical imaging.

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