Multi-node environment strategy for Parallel Deterministic Multi-Objective Fractal Decomposition - Université Paris-Est-Créteil-Val-de-Marne Access content directly
Conference Papers Year : 2019

Multi-node environment strategy for Parallel Deterministic Multi-Objective Fractal Decomposition

Abstract

This paper presents a new implementation of deterministic multiobjective (MO) optimization called Multiobjective Fractal Decomposition Algorithm (Mo-FDA). The original algorithm was designed for mono-objective large scale continuous optimization problems. It is based on a divide and conquer strategy and a geometric fractal decomposition of the search space using hyperspheres. Then, to deal with MO problems a scalarization approach is used. In this work, a new approach has been developed on a multi-node environment using containers. The performance of Mo-FDA was compared to state of the art algorithms from the literature on classical benchmark of multi-objective optimization
No file

Dates and versions

hal-04348573 , version 1 (16-12-2023)

Identifiers

Cite

Leo Souquet, Amir Nakib. Multi-node environment strategy for Parallel Deterministic Multi-Objective Fractal Decomposition. in Proc. Of 13th International Conference on Multiple Objective Programming and Goal Programming (MOPGP 2019), Oct 2019, Marrakech, Morocco. ⟨10.48550/arXiv.1908.02149⟩. ⟨hal-04348573⟩

Collections

LISSI UPEC
8 View
0 Download

Altmetric

Share

Gmail Facebook X LinkedIn More