The objective of this paper is to provide a texture based segmentation algorithm for better
delineation of the epithelial layer from histological images in discriminating normal and oral …

In this research paper, a novel approach to solve manufacturing scheduling problems based
on the integration of optimisation and simulation tools is proposed. The advantages of this …

In agricultural systems, multiple objectives and uncertainty are often part of the game when
optimization is at stake. Multiobjective dominance rules cannot be simply applied due to this …

There is renewed interest in the development of effective and efficient methods for
optimizing models of which the optimizer has no structural knowledge. This is what in the …

Scatter search (SS) is an evolutionary approach for optimization. It has been applied to
problems with continuous and discrete variables and with one or multiple objectives. The …

Many important problems in Operations Research and Statistics require the computation of
nondominated (or Pareto or efficient) sets. This task may be currently undertaken efficiently …

A new class of algorithms is introduced and analyzed for bound and linearly constrained
optimization problems with stochastic objective functions and a mixture of design variable …

The goal of this paper is to find Wardrop equilibrium in transport networks at case of
uncertainty situations, where the uncertainty comes from lack of information. The uncertainty …

L'optimisation à base de simulation est une approche performante pour la résolution de
problèmes d'optimisation continus et stochastiques. Nous proposons des algorithmes …

La simulation est de plus en plus utilisée dans les études de conception et d'organisation
des systèmes complexes. Une étude par optimisation via simulation permet d'optimiser les …