Stochastic programming applications to agent route planning in adverse weather

Xin jian Lv; Zong yao Yan

doi:10.1117/12.2641058

2 December 2022 Stochastic programming applications to agent route planning in adverse weather

Xin jian Lv, Zong yao Yan

Proceedings Volume 12288, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2022); 1228819 (2022) https://doi.org/10.1117/12.2641058
Event: International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2022), 2022, Zhuhai, China

Abstract

The agent routing process considering weather conditions is a multi-objective optimization problem constrainedly, which various optimization criteria and constraints should be considered. The quality of the given routes depends not only on the quality of the data, but also on the modelling of the optimization problem and the algorithm chosen to solve it. Because of universality of mathematical methods and the resulting decision-making challenges, the aim of this paper is to comprehensively compare the existing most advanced methods through literature review and elaborate different modelling methods, optimization algorithms and their application in agent ship route planning.

Citation Download Citation

Xin jian Lv and Zong yao Yan "Stochastic programming applications to agent route planning in adverse weather", Proc. SPIE 12288, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2022), 1228819 (2 December 2022); https://doi.org/10.1117/12.2641058

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