A Pareto-Pontryagin Maximum Principle for Optimal Control

In this paper, an attempt to unify two important lines of thought in applied optimization is proposed. We wish to integrate the well-known (dynamic) theory of Pontryagin optimal control with the Pareto optimization (of the static type), involving the maximization/minimization of a non-trivial number of functions or functionals, Pontryagin optimal control offers the definitive theoretical device for the dynamic realization of the objectives to be optimized. The Pareto theory is undoubtedly less known in mathematical literature, even if it was studied in topological and variational details (Morse theory) by Stephen Smale. This reunification, obviously partial, presents new conceptual problems; therefore, a basic review is necessary and desirable. After this review, we define and unify the two theories. Finally, we propose a Pontryagin extension of a recent multiobjective optimization application to the evolution of trees and the related anatomy of the xylems. This work is intended as the first contribution to a series to be developed by the authors on this subject.

Automated summary

This paper proposes an attempt to unify two important lines of thought in applied optimization by integrating the theory of Pontryagin optimal control with the Pareto optimization. The author provides a basic review, defines and unifies the two theories. Additionally, a Pontryagin extension of multiobjective optimization application for the evolution of trees and the related anatomy of the xylems is proposed.