Beldek, UlaşLeblebicioğlu, Kemal2016-04-052016-04-052007Beldek, U., Leblebicioğlu, K. (2007). Strategy creation, decomposition and distribution in particle navigation. Information Sciences, 177(3), 755-770. http://dx.doi.org/10.1016/j.ins.2006.07.0080020-0255http://hdl.handle.net/20.500.12416/840Strategy 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 particleseninfo:eu-repo/semantics/closedAccessGenetic ProgrammingRule–BaseStrategy PlanningGenetic AlgorithmsRobot NavigationMaze SolvingOptimizationMulti-Agent SystemsArticle177375577010.1016/j.ins.2006.07.008