An investigation into the suitability of genetic programming for computing visibility areas for sensor planning

An investigation into the suitability of genetic programming for computing visibility areas for sensor planning

Bibliographic Details
Main Author: Grant, Michael Sean
Published: Heriot-Watt University 2000
Subjects:
005
Machine vision
Online Access:http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.325090
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spelling ndltd-bl.uk-oai-ethos.bl.uk-3250902015-03-19T04:10:41ZAn investigation into the suitability of genetic programming for computing visibility areas for sensor planningGrant, Michael Sean2000005Machine visionHeriot-Watt Universityhttp://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.325090http://hdl.handle.net/10399/555Electronic Thesis or Dissertation
collection NDLTD
sources NDLTD
topic 005
Machine vision
spellingShingle 005
Machine vision
Grant, Michael Sean
An investigation into the suitability of genetic programming for computing visibility areas for sensor planning
author Grant, Michael Sean
author_facet Grant, Michael Sean
author_sort Grant, Michael Sean
title An investigation into the suitability of genetic programming for computing visibility areas for sensor planning
title_short An investigation into the suitability of genetic programming for computing visibility areas for sensor planning
title_full An investigation into the suitability of genetic programming for computing visibility areas for sensor planning
title_fullStr An investigation into the suitability of genetic programming for computing visibility areas for sensor planning
title_full_unstemmed An investigation into the suitability of genetic programming for computing visibility areas for sensor planning
title_sort investigation into the suitability of genetic programming for computing visibility areas for sensor planning
publisher Heriot-Watt University
publishDate 2000
url http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.325090
work_keys_str_mv AT grantmichaelsean aninvestigationintothesuitabilityofgeneticprogrammingforcomputingvisibilityareasforsensorplanning
AT grantmichaelsean investigationintothesuitabilityofgeneticprogrammingforcomputingvisibilityareasforsensorplanning
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