A survey of nature inspired optimization algorithms applied to cooperative strategies in robot soccer
Faculty / School
Faculty of Computer Sciences (FCS)
Department of Computer Science
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2018 International Conference on Advancements in Computational Sciences, ICACS 2018
19-21 February 2018
Institute of Electrical and Electronics Engineers (IEEE)
Abstract / Description
Nature inspired optimization algorithms are known for their inherent ability to solve complex problems where multiple agents interact to perform a task at hand. This paper presents a survey of how these optimization algorithms have been applied in determining cooperative strategies for a team of soccer playing agents. The survey discusses the contributions made by researchers and makes an effort to map nature inspired optimization algorithms with the type of cooperative strategy evolved. A categorization of cooperative study is also presented specifically in the domain of RoboCup Soccer Simulation League where agents cooperate in a virtual environment to develop a strategy without any issue of physical wear and tear. This study would serve as a starting point for teams participating in RoboCup competitions to enhance their strategy utilizing ideas from nature inspired algorithms.
Larik, A. S., & Haider, S. (2018). A survey of nature inspired optimization algorithms applied to cooperative strategies in robot soccer., 1. https://doi.org/10.1109/ICACS.2018.8333485