output
20072026
most citedAgent-Based Modeling of Systems of Systems

36 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2013Show all

6 papers · 1 filter

cs.MA2013★ 9 cited

A Methodology to Engineer and Validate Dynamic Multi-level Multi-agent Based Simulations

Jean-Baptiste Soyez, Gildas Morvan, Daniel Dupont +1

This article proposes a methodology to model and simulate complex systems, based on IRM4MLS, a generic agent-based meta-model able to deal with multi-level systems. This methodolog…

cs.NE2013★ 6 cited

Evolutionary Approach for the Containers Bin-Packing Problem

R. Kammarti, I. Ayachi, M. Ksouri +1

This paper deals with the resolution of combinatorial optimization problems, particularly those concerning the maritime transport scheduling. We are interested in the management pl…

cs.NE2013★ 3 cited

Harmony search algorithm for the container storage problem

I. Ayachi, R. Kammarti, M. Ksouri +3

Recently a new metaheuristic called harmony search was developed. It mimics the behaviors of musicians improvising to find the better state harmony. In this paper, this algorithm i…

cs.NE2013★ 16 cited

A Genetic algorithm to solve the container storage space allocation problem

I. Ayachi, R. Kammarti, M. Ksouri +6

This paper presented a genetic algorithm (GA) to solve the container storage problem in the port. This problem is studied with different container types such as regular, open side,…

stat.ML2013

Multiple functional regression with both discrete and continuous covariates

Hachem Kadri, Philippe Preux, Emmanuel Duflos +1

In this paper we present a nonparametric method for extending functional regression methodology to the situation where more than one functional covariate is used to predict a funct…

cs.LG2013

Functional Regularized Least Squares Classi cation with Operator-valued Kernels

Hachem Kadri, Asma Rabaoui, Philippe Preux +2

Although operator-valued kernels have recently received increasing interest in various machine learning and functional data analysis problems such as multi-task learning or functio…