Paper Info
Title
Multi-Objective Optimization Modeling and Solution of Multi-Satellite TT&lC Scheduling Problem.
Abstract
Satellite TTu0026lC Scheduling Problem has been developed for quite a few years, which plays a very important role in satellite daily monitoring. However, previous studies of the problem seldom addressed multiple objectives, but the multi- objective optimization is currently required by satellite monitoring departments. This paper establishes a three-objective mathematical model and proposes two memetic algorithms for addressing the satellite TTu0026lC scheduling problem. Several local search operators are designed and incorporated into the memetic algorithms. The highlight of the memetic algorithms in this paper is the combination of evolutionary algorithms and local search metaheuristics. Experimental results indicate that the proposed memetic algorithms, which are based on NSGA-II and MOEA/D, can well address the multi-objective satellite TTu0026lC scheduling problem and present better overall performance than other competitors.
Year
DOI
Venue
2019
10.1109/SSCI44817.2019.9002998
SSCI
Field
DocType
Citations 
Memetic algorithm,Mathematical optimization,Job shop scheduling,Evolutionary algorithm,Computer science,Multi-objective optimization,Operator (computer programming),Local search (optimization),Genetic algorithm,Metaheuristic
Conference
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Weihua Qi100.34
Yonghao Du252.08
Lining Xing3168.51
Yuning Chen423.41