Multi-agile satellites multi-objective scheduling based on hybrid evolutionary game theory
ZHANG Guang-hui
WEI Chen-xuan
FENG Yan-xiang
LI Xiao-ling
Abstract：The continuous advancement of aerospace technology has enabled agile earth observation satellites with advanced attitude maneuverability to play a significant role in climate monitoring,military intelligence,and other fields.In order to meet the complex agile satellite task scheduling requirements,this paper investigates a time-dependent multi-objective scheduling optimization problem for multiple agile satellites,aiming to minimize task failure rates and satellite load balancing.Firstly,a mathematical programming model is constructed based on the problem characteristics.Secondly,a hybrid evolutionary game scheduling algorithm(HEGSA)is proposed based on evolutionary game theory,which includes two evolutionary stages:global exploitation and local exploration.In the global exploitation stage,heuristic strategies are employed to generate two subpopulations with heterogeneous identities,and a multi-objective evolutionary game strategy is used to optimize each subpopulation to balance convergence and diversity.In the local exploration stage,a self-learning operator is used to enhance the efficient search of the solution space.Finally,the effectiveness of HEGSA is verified through simulation experiments.
Keywords：agile satellitetask schedulingtime-dependentmulti-objectiveevolutionary gameself-learning
Publication Date：2025-11-30
Online Publishing Date：2025-12-29(First online date of this platform, not the publication date of the document)
Pages：11( 2341-2351 )