loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Julien Martin 1 ; Jean-Pierre Georgé 1 ; Marie-Pierre Gleizes 1 and Mickaël Meunier 2

Affiliations: 1 IRIT, France ; 2 SNECMA Villaroche, France

Keyword(s): Pareto Front, Adaptive Multi-Agent System, Multi-Objective Optimization

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Autonomous Systems ; Cooperation and Coordination ; Distributed and Mobile Software Systems ; Enterprise Information Systems ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Multi-Agent Systems ; Software Engineering ; State Space Search ; Symbolic Systems

Abstract: Multidisciplinary Design Optimization (MDO) problems can have a unique objective or be multi-objective. In this paper, we are interested in MDO problems having at least two conflicting objectives. This characteristic ensures the existence of a set of compromise solutions called Pareto front. We treat those MDO problems like Multi-Objective Optimization (MOO) problems. Actual MOO methods suffer from certain limitations, especially the necessity for their users to adjust various parameters. These adjustments can be challenging, requiering both disciplinary and optimization knowledge. We propose the use of the Adaptive Multi-Agent Systems technology in order to automatize the Pareto front obtention. ParetOMAS (Pareto Optimization Multi-Agent System) is designed to scan Pareto fronts efficiently, autonomously or interactively. Evaluations on several academic and industrial test cases are provided to validate our approach.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.17.74.227

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Martin, J.; Georgé, J.; Gleizes, M. and Meunier, M. (2015). Autonomous Pareto Front Scanning using an Adaptive Multi-Agent System for Multidisciplinary Optimization. In Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-758-073-4; ISSN 2184-433X, SciTePress, pages 263-271. DOI: 10.5220/0005293302630271

@conference{icaart15,
author={Julien Martin. and Jean{-}Pierre Georgé. and Marie{-}Pierre Gleizes. and Mickaël Meunier.},
title={Autonomous Pareto Front Scanning using an Adaptive Multi-Agent System for Multidisciplinary Optimization},
booktitle={Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2015},
pages={263-271},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005293302630271},
isbn={978-989-758-073-4},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - Autonomous Pareto Front Scanning using an Adaptive Multi-Agent System for Multidisciplinary Optimization
SN - 978-989-758-073-4
IS - 2184-433X
AU - Martin, J.
AU - Georgé, J.
AU - Gleizes, M.
AU - Meunier, M.
PY - 2015
SP - 263
EP - 271
DO - 10.5220/0005293302630271
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic