The robustness of robot calibration with respect to sensor noise is sensitive to the
manipulator poses used to collect measurement data. In this paper we propose an algorithm …

We propose a generic, domain-independent local search method called adaptive search for
solving Constraint Satisfaction Problems (CSP). We design a new heuristics that takes …

A Constraint Satisfaction Problem (CSP) consists of a set of variables, a domain of values for
each variable and a set of constraints. The objective is to assign a value for each variable …

As the gas industry has developed, gas pipeline networks have evolved over decades into
very complex systems. A typical network today might consist of thousands of pipes, dozens …

optimization problems currently occupy an important place in the scientific community.
Intuitively, an optimization problem can be seen as a search problem that consists in …

In this paper, we are interested in a particular combinatorial optimisation problem (COP),
namely the graph colouring problem (GCP). To solve the GCP, we present a parallel …

This paper deals with a high-pressure gas pipeline optimization, where the problem is to find
the design properties of the pipelines and necessary compressor stations to satisfy customer …

ABSTRACT Container Stacking Problem (CSP) is of great importance in a seaport terminal
with regards to the increasing number of containers to be handled. Numerous research …

La segmentation des images est généralement l'étape la plus importante dans un système
d'analyse d'images: dans l'aide au diagnostic en médecine, en navigation autonome des …

Due to their large variety of applications, complex optimization problems induced a great
effort to develop efficient solution techniques, dealing with both continuous and discrete …