Hybrid Intelligent Systems on Logistics

Contents of the session

Hybrid Artificial Intelligent Systems (HAIS) try to deal with the complexity of real world phenomena using a multidisciplinary approach and a plurality of techniques. HAIS represent an attractive approach to address logistics problems (and the plethora of problems related to this topic) which are inherently complex and usually difficult to model using classical methods. Logistics management issues include network configuration, production planning, inventory control, procurement strategies, and integration of production, inventory and transportation decisions, vehicle fleet management, truck routing and packing problems. Many of these issues revolve around extremely difficult optimization problems (usually in the class of NP-hard problems) for which heuristics able to determine an approximate solution using limited resources are required.

This special session is aimed at discussing research on HAIS working with Bioinspired Algorithms, using any Bioinspired artificial intelligence technique like Ant Colony Optimization (ACO), Cultural Algorithms (CAs), Particle Swarm Optimization (PSO), Evolutionary Differential Algorithms and others to address diverse logistics problems such as vehicle routing, traveling sales, scheduling, bin packing and planning problems. The focus is on the application of HAIS to real-world complex problems from logistics.

Topics:

HAIS working with evolutionary models and/or swarm intelligence techniques for combinatorial optimization
Hybrid metaheuristics to solve complex problems in logistics and supply chains
Application of HAIS to classical NP-hard problems such as Vehicle Routing Problems, Traveling Sales Problem and Bin Packing
Logistics routing-loading scheduling based on HAIS
HAIS for distributed logistics

Contributions

Original contributions are sought in the area of the topics covered by this special session. All submissions will be refereed by experts in the field based on originality, significance, quality and clarity. Every submitted paper to HAIS'10 will be reviewed by at least two members of the Program Committee.

Papers must be prepared according to the LNCS-LNAI styletemplate (see: http://www.springer.de/comp/lncs/authors.html) and must be no more than 8 pages long, including figures and bibliography.

NOTICE: At least one author of each accepted paper must register in order for the paper to be included in the HAIS 2010 Proceedings.

Authors are requested to submit their contributions through the HAIS'10 paper submission page and also email a copy to the chair of this special session (PDF format).

The best papers of this Special Session will be included in a special issue of the journal:

1. Journal of Computers (Academy Publisher Editorial)
ISSN : 1796-203X

Number of issues per year : 12
Number of papers per issue : ~10
Page Size : ~80 pages
Format : A4 (8.27" × 11.69") offset paper

Co-Chairs

Camelia Chira - Babes-Bolyai University
Alberto Ochoa - Universidad Autónoma de Ciudad Juárez
Arturo Hernández - Centro de Investigación en Matemáticas
Katya Rodríguez - Universidad Nacional Autónoma de México

Program Committee

Ricardo Aceves - UNAM, Mexico
Luciana Buriol - UFRGS, Brazil
Cristiano Castelfranchi - ISTC-CNR, Italy
Cerasela Crisan - University of Bacau, Romania
D. Dumitrescu - Babes-Bolyai University, Romania
Anca Gog - Babes-Bolyai University Cluj-Napoca, Romania
Luana Hatsukimi - UNICAMP, Brazil
Stella Heras - Universidad Politécnica de Valencia, Spain
Samer Hassan - Surrey University, England
Barna Iantovics - Petru Maior University Targu-Mures, Romania
Fabricio Olivetti de França - University of Campinas, Brasil
Camelia-M. Pintea - Babes-Bolyai University, Romania
Petrica Pop - North University Baia-Mare, Romania
Dario Landa-Silva - University of Nottingham, UK
Simoneé Suarent - Technical University, Mauritius
José Ramón Villar Flecha - University of Oviedo, Spain

Contact information

Alberto Ochoa
E-mail:
Affiliation: Instituto de Ingeniería y Tecnología, Universidad Autónoma de Ciudad Juárez
Postal address: Av. del Charro #610 Norte, Ciudad Juárez (México)
Telephone number:(52) 688-48-00 al 09