Simulation and evaluation of urban bus-networks using a multiagent approach

Autor: Meignan, David, Simonin, Olivier, Koukam, Abderrafiâa

Publikováno v: In Simulation Modelling Practice and Theory 2007 15(6):659-671

Une approche organisationnelle et multi-agent pour la modélisation et l'implantation de métaheuristiques, Application aux problèmes d'optimisation de réseaux de transports

Autor: Meignan, David

Publikováno v: Autre [cs.OH]. Université de Technologie de Belfort-Montbeliard, 2008. Français

The work presented in the PhD thesis promotes the idea that the analysis and design of metaheuristics can be facilitated and improved thanks to multi-agent systems approach. We first present AMF, an Agent Metaheuristic Framework that aims at supporti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::da525fd8e381890956a49f78fb424524
https://tel.archives-ouvertes.fr/tel-00391811/document

Two Look-Ahead Strategies for Local-Search Metaheuristics.

Autor: Meignan, David, Schwarze, Silvia, Voß, Stefan

Publikováno v: Learning & Intelligent Optimization: 8th International Conference, Lion 8, Gainesville, FL, USA, February 16-21, 2014. Revised Selected Papers; 2014, p187-202, 16p

A heuristic approach to schedule reoptimization in the context of interactive optimization.

Autor: Meignan, David

Publikováno v: Proceedings of the 2014 Conference Genetic & Evolutionary Computation; 7/12/2014, p461-468, 8p

A cooperative and self-adaptive metaheuristic for the facility location problem.

Autor: Meignan, David, Créput, Jean-Charles, Koukam, Abderrafiaa

Publikováno v: Proceedings of the 11th Annual Conference: Genetic & Evolutionary Computation; 7/ 8/2009, p317-324, 8p