A survey of nature inspired optimization algorithms applied to cooperative strategies in robot soccer

Faculty / School

Faculty of Computer Sciences (FCS)

Department

Department of Computer Science

Was this content written or created while at IBA?

Yes

Document Type

Conference Paper

Publication Date

4-6-2018

Conference Name

2018 International Conference on Advancements in Computational Sciences, ICACS 2018

Conference Location

Lahore, Pakistan

Conference Dates

19-21 February 2018

ISBN/ISSN

85049619766 (Scopus)

First Page

1

Publisher

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.

Link to Full Text

Share

COinS