Multi-UAS Minimum Time Search in Dynamic and Uncertain Environments

This book proposes some novel approaches for finding unmanned aerial vehicle trajectories to reach targets with unknown location in minimum time. At first, it reviews probabilistic search algorithms that have been used for dealing with the minimum time search (MTS) problem, and discusses how metaheuristics, and in particular the ant colony optimization algorithm (ACO), can help to find high-qua…

Shepherding UxVs for Human-Swarm Teaming

This book draws inspiration from natural shepherding, whereby a farmer utilizes sheepdogs to herd sheep, to inspire a scalable and inherently human friendly approach to swarm control. The book discusses advanced artificial intelligence (AI) approaches needed to design smart robotic shepherding agents capable of controlling biological swarms or robotic swarms of unmanned vehicles. These smart sh…

SWAM INTELLIGENCE KOMPUTASI MODERN UNTUK OPTIMASI dan BIG DATA MINING

Edition

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ISBN/ISSN

978-602-6232-51-9

Collation

xxvi, 262 hlm; 21 cm

Series Title

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Call Number

005.262 Suy s

ADVANCES IN SWARM INTELIGGENCE FOR OPTIMIZING PROBLEMS IN COMPUTER SCIENCE

Edition

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ISBN/ISSN

978-1-138-48251-7

Collation

xiv, 298 p. ; 24 cm

Series Title

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Call Number

006.3 Adv a