Publicaciones

• COMM

Specifying Self-organising Logistics System: openness, intelligence, and decentralised control

Shenle Pan, Damien Trentesaux, Yves Sallez

This paper contributes to the development of a novel paradigm in logistics , i.e. self-organising logistics system (SoLS). A SoLS can be considered as a logistics system that can function without significant intervention by human , and without central control by software. It is functioning based on...

SOHOMA’16 Workshop on Service Orientation in Holonic and Multi-Agent Manufacturing, Oct 2016, Lisbon, Portugal. ⟨hal-01389875⟩

• COMM

Intégration de modèles d’optimisation dans les organisations. L’aide à la décision comme repères d’alignement stratégique.

Said Hanafi, Michel Labour, Igor Crevits

MTO'2016, 8ème édition du colloque Management des Technologies Organisationnelles, Oct 2016, Nimes, France. ⟨hal-03388146⟩

• COMM

Solving the hydro-chain scheduling problem by alternate VNS

Said Hanafi, Marko Mladenovic, Thomas Triboulet

VNS2016, International Conference on Variable Neighborhood Search, Oct 2016, Malaga, Spain. ⟨hal-03431996⟩

• COMM

Variable neighborhood search based heuristic for scheduling preventive maintenance activities

Dragan Urošević, Rachid Benmansour, Danijela Đorić, Rita Macedo, Nenad Mladenovic

VNS2016 - 4th International Conference on Variable Neighborhood Search, Oct 2016, Malaga, Spain. ⟨hal-03432026⟩

• ART

A reliable measure of footwear upper comfort enabled by an innovative sock equipped with textile pressure sensors

Alexis Herbaut, Emilie Simoneau-Buessinger, Franck Barbier, Francis Cannard, Nils Gueguen

Footwear comfort is essential and pressure distribution on the foot was shown as a relevant objective measurement to assess it. However, asperities on the foot sides, especially the metatarsals and the instep, make its evaluation difficult with available equipment. Thus, a sock equipped with...

Ergonomics, 2016, 59 (10), pp.1327-1334. ⟨10.1080/00140139.2016.1142122⟩. ⟨hal-03464811⟩

• COMM

A hybrid quantum particle swarm optimization for the Multidimensional Knapsack Problem.

Boukthir Haddar, Mahdi Khemakhem, Said Hanafi, Christophe Wilbaut

In this paper we propose a new hybrid heuristic approach that combines the Quantum Particle Swarm Optimization technique with a local search method to solve the Multidimensional Knapsack Problem. The approach also incorporates a heuristic repair operator that uses problem-specific knowledge instead...

MIC'2015, The 11th edition of the Metaheuristics International Conference, Jun 2015, Agadir, Morocco. pp.1-13, ⟨10.1016/j.engappai.2016.05.006⟩. ⟨hal-03385392⟩

• COMM

Time dependent parking lot allocation problem.

Thierry Delot, Marko Mladenovic, Christophe Wilbaut

VNS 2016, 4th International Conference on Variable Neighborhood Search, Oct 2016, Malaga, Spain. ⟨hal-03383157⟩

• COMM

A new experimental setup to characterize the dynamic mechanical behaviour of ballistic yarns

Caroline Chevalier, N. Faderl, Christophe Kerisit, Daniel Coutellier, François Boussu

Fabrics have been widely used as part of ballistic protections since the 1970s and the development of new ballistic solutions made from fabrics need numerical simulations, in order to predict the performance of the ballistic protection. The performances and the induced mechanisms in ballistic...

Dyncomp’2015, International conférence on dynamics of composites structures, Jun 2015, Arles, France. pp.105902. ⟨hal-03434047⟩

• ART

Variable neighborhood search for minimum linear arrangement problem

Nenad Mladenovic, Dragan Urošević, Dionisio Pérez-Brit

This paper presents a general variable neighborhood search (GVNS) heuristic for solving the maximum diverse grouping problem. Extensive computational experiments performed on a series of large random graphs as well as on several instances of the maximum diversity problem taken from the literature...

Yugoslav Journal of Operations Research, 2016, 26 (1), pp.3-14. ⟨10.2298/YJOR140928038M⟩. ⟨hal-03578687⟩

• ART

Performance Study of Harmony Search Algorithm for Multilevel Thresholding

Salima Ouadfel, Abdelmalik Taleb-Ahmed

Abstract Thresholding is the easiest method for image segmentation. Bi-level thresholding is used to create binary images, while multilevel thresholding determines multiple thresholds, which divide the pixels into multiple regions. Most of the bi-level thresholding methods are easily extendable to...

Journal of Intelligent Systems, 2016, 25 (4), pp.473-513. ⟨10.1515/jisys-2014-0147⟩. ⟨hal-03426912⟩