Capturing spatial, time-wise and technological detail in hydrogen supply chains: A bi-level multi-objective optimization approach

Autor: Victor H. Cantú, Antonin Ponsich, Catherine Azzaro-Pantel, Eduardo Carrera

Publikováno v: Applied Energy. 344:121159

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9e15a6f6ced4ec259d2d653feb6df7f3
https://doi.org/10.1016/j.apenergy.2023.121159

On the use of gradient-based repair method for solving constrained multiobjective optimization problems—a comparative study

Autor: Antonin Ponsich, Victor H. Cantú, Catherine Azzaro-Pantel

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Constraint Handling in Metaheuristics and Applications ISBN: 9789813367098

In this chapter, we study the effect of repairing infeasible solutions using the gradient information for solving constrained multiobjective problems (CMOPs) with multiobjective evolutionary algorithms (MOEAs). For this purpose, the gradient-based re

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::903cd285f27e5bf77237404930ba8993

Multi-Objective Evolutionary Algorithm based on Decomposition (MOEA/D) for Optimal Design of Hydrogen Supply Chains

Autor: Victor H. Cantú, Antonin Ponsich, Catherine Azzaro-Pantel

This work introduces an efficient tool for the design of sustainable hydrogen supply chains (HSCs), considering both economic and environmental concerns, through an appropriate multi-objective strategy. Within this hybrid strategy, a multi-objective

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::db7e4422544fd0c221d78367e06d9d56
https://doi.org/10.1016/b978-0-12-823377-1.50148-8