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This thesis discusses the use of a cooperative, agent-based search in the cable harness routing problem (CHRP). They hypothesis behind this work is that a human designer can be greatly assisted in the intricate task of routing cables through a complex space if he is empowered to interact naturally with other autonomous agents as well as with the design itself. A collection of automated search and routing agents, which make use of domain knowledge and which are able to communicate with the human designer, is discussed. In addition, this thesis presents a novel interactive routing environment in which each agent is able to communicate design fragments with others via an adaptive, genetic-based blackboard.

 
 
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Computational Support for the Collaborative Design, Routing, and Manipulation of Cable Harnesses
 

Keywords

genetic  algorithms  steiner  trees  agents  cable  harnesses  
emersion  
 
 
 About This Document
 
 Subject Mechanical Engineering
 Category PhD Thesis
 Views 1212
 Downloads 254
 Added 05-11-12
 Contributor   abconru
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