Optimization in space-based pursuit-evasion games through competitive coevolution

Jason A. Reiter, David B. Spencer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Optimization in space-based pursuit-evasion games is often computationally cost prohibitive given the size of the state and action spaces available to both players. Competitive coevolution can be used to augment the optimization process in a manner that results in dynamic search spaces. In competitive coevolution, the two players compete directly with each other and reciprocally drive one another to increasing levels of performance and complexity. This is accomplished by gradually increasing the size and complexity of the strategies available to both players. Using coevolution provides significant computational cost savings compared to traditional optimization methods while ensuring a globally optimal result.

Original languageEnglish (US)
Title of host publicationAAS/AIAA Astrodynamics Specialist Conference, 2019
EditorsKenneth R. Horneman, Christopher Scott, Brian W. Hansen, Islam I. Hussein
PublisherUnivelt Inc.
Pages1459-1469
Number of pages11
ISBN (Print)9780877036654
StatePublished - 2020
EventAAS/AIAA Astrodynamics Specialist Conference, 2019 - Portland, United States
Duration: Aug 11 2019Aug 15 2019

Publication series

NameAdvances in the Astronautical Sciences
Volume171
ISSN (Print)0065-3438

Conference

ConferenceAAS/AIAA Astrodynamics Specialist Conference, 2019
CountryUnited States
CityPortland
Period8/11/198/15/19

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Space and Planetary Science

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