Strategy planning is crucial to control a group to
achieve a number of tasks in a closed area full of
obstacles. In this study, genetic programming has been
used to evolve rule-based hierarchical structures to
move the particles in a grid region to accomplish
navigation tasks. Communications operations such as
receiving and sending commands between particles are
also provided to develop improved strategies. In order
to produce more capable strategies, a task
decomposition procedure is proposed. In addition, a
conflict module is constructed to handle the
challenging situations and conflicts such as blockage
of a particle's pathway to destination by other
particles.
%0 Journal Article
%1 Beldek:2007:IS
%A Beldek, Ulas
%A Leblebicioglu, Kemal
%D 2007
%J Information Sciences
%K Maze Multi-agent Optimization, Robot Rule-base, Strategy algorithms, genetic navigation, planning, programming, solving, systems
%N 3
%P 755--770
%R doi:10.1016/j.ins.2006.07.008
%T Strategy creation, decomposition and distribution in
particle navigation
%V 177
%X Strategy planning is crucial to control a group to
achieve a number of tasks in a closed area full of
obstacles. In this study, genetic programming has been
used to evolve rule-based hierarchical structures to
move the particles in a grid region to accomplish
navigation tasks. Communications operations such as
receiving and sending commands between particles are
also provided to develop improved strategies. In order
to produce more capable strategies, a task
decomposition procedure is proposed. In addition, a
conflict module is constructed to handle the
challenging situations and conflicts such as blockage
of a particle's pathway to destination by other
particles.
@article{Beldek:2007:IS,
abstract = {Strategy planning is crucial to control a group to
achieve a number of tasks in a closed area full of
obstacles. In this study, genetic programming has been
used to evolve rule-based hierarchical structures to
move the particles in a grid region to accomplish
navigation tasks. Communications operations such as
receiving and sending commands between particles are
also provided to develop improved strategies. In order
to produce more capable strategies, a task
decomposition procedure is proposed. In addition, a
conflict module is constructed to handle the
challenging situations and conflicts such as blockage
of a particle's pathway to destination by other
particles.},
added-at = {2008-06-19T17:35:00.000+0200},
author = {Beldek, Ulas and Leblebicioglu, Kemal},
biburl = {https://www.bibsonomy.org/bibtex/2d2ed215435c85691cb41bd6ca10089ac/brazovayeye},
doi = {doi:10.1016/j.ins.2006.07.008},
interhash = {70c318634157dfe84e04ad771b28bb63},
intrahash = {d2ed215435c85691cb41bd6ca10089ac},
journal = {Information Sciences},
keywords = {Maze Multi-agent Optimization, Robot Rule-base, Strategy algorithms, genetic navigation, planning, programming, solving, systems},
month = {1 February},
number = 3,
pages = {755--770},
timestamp = {2008-06-19T17:36:23.000+0200},
title = {Strategy creation, decomposition and distribution in
particle navigation},
volume = 177,
year = 2007
}