This is the first book dedicated to this topic, and it can be used as a reference for researchers, engineers, and postgraduates in the areas of constraint programming, machine learning, evolutionary computing, and feedback control theory.
Under such scenarios, search and classification compete for limited sensing resources. This is because search requires vehicle mobility while classification restricts the vehicles to the vicinity of any objects found.
The problem solver cannot adapt to the dynamically changing goals and the problem solver cannot cooperatively solve problems with other problem solvers. This book deals with all these issues.
... self-amplifying nature of collaborative ranking by analyzing search engine clickthrough logs, inferring the real document's relevance from the recorded user behavior. Furthermore, they proposed to ... Search 1.5.3 Query Analysis.
... Search for a Moving Target in Dis- crete Time and Space , " Operations Research , Vol . 28 , No. 6 , pp . 1275- 1289 ... Self - Design in Distributed Problem Solving Networks , PhD Dissertation , COINS - TR- 82-33 , University of ...
This book takes a look at fully automated, autonomous vehicles and discusses many open questions: How can autonomous vehicles be integrated into the current transportation system with diverse users and human drivers?
Rokas Semenas , Romualdas Bausys. Article Modelling of Autonomous Search and Rescue Missions by Interval - Valued Neutrosophic WASPAS Framework Rokas Semenas and Romualdas Bausys * Department of Graphical Systems , Vilnius Gediminas ...
... search-based testing methods were still absent. One of the first papers that proposed search-based testing for ADAS was by Ben Abdessalem et al. (2016). In recent years, a few other papers using search-based testing for ADAS have been ...