SELP: Special Session on Scalable Evolutionary Logistic Planning

SELP, the Special Session on Scalable Evolutionary Logistic Planning of the 2013 IEEE Symposium on Computational Intelligence in Production and Logistics Systems (CIPLS 2013), part of the 2013 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2013), invites the submission of original and unpublished research papers.

Logistics comprises all management, scheduling, and routing governing the transportation of objects or resources from one point to another. In a modern economy, it is one of the most important services for business, the industry, and the public alike. Vehicles such as trucks, trains, ships, airplanes, and even bikes together transport billions of tons of parcel. Improving the efficiency of logistics is therefore a major concern, both from economical as well as environmental aspects. Many of the optimization problems arising in this area are NP-hard and therefore often intractable for exact solution approaches. Here, Computational Intelligence techniques have proven to be powerful alternatives. Today, especially large-scale logistic planning problems, involving many vehicles or logistic tasks, move into the focus of research. The high runtime requirement for solving them demands for new approaches to improve the scalability of evolutionary optimization methods.

This special session will provide a common forum to exchange ideas and findings for researchers and practitioners who are interested in solving large-scale logistic planning problems with Evolutionary Algorithms, Swarm Intelligence methods, and CI approaches in general. All accepted papers in this session will be included in the Proceedings of the IEEE CIPLS 2013 published by IEEE Press and indexed by EI. Extended versions of selected papers will be further considered for publication in reputable journals.

The main theme of SELP is solving large-scale logistics and transportation problems with Evolutionary Algorithms. The topics of interest therefore include, but are not limited to combinations of:

• Scaling Approaches:
  • Special algorithm designs
  • Memetic and Hybridization methods
  • Developmental Genotype-Phenotype Mappings
  • Self-Organization Approaches
  • Parallelization
  • Distribution
  • Cooperative Coevolution
  • Evolutionary Algorithms in the Cloud
  • Generative Genotype-Phenotype Mappings
  • Multi-Agent Systems
  
  
• Logistic Planning Problems:
  • Travelling Salesman Problems (TSPs)
  • Arc Routing Problems (ARPs)
  • Vehicle Routing Problems (VRP)
  • Real-World Problems and Applications
  • Packing Problems in relationship with Logistics and Transportation
  • Scheduling for Transportation
  • Robotics or Team-based Logistics
  • Environmental Aspects of Logistics and Transportation
  • Multi-Location Inventory Systems
  • Intra-Warehouse Logistics
  • Rules or Neural Networks for Self-Organized Transportation
  
  
• Algorithms (in conjunction with the above):
  • Evolutionary Algorithms (EAs) such as Genetic Algorithms (GAs), Genetic Programming (GP), Evolution Strategies (ES), and Evolutionary Programming (EP)
  • Memetic Algorithms (MAs) and hybrid EAs
  • Differential Evolution (DE)
  • Estimation of Distribution Algorithms (EDAs)
  • Particle Swarm Optimization (PSO)
  • Ant Colony Optimization (ACO)
  • Related Metaheuristics
  • Other Computational Intelligence (CI) approaches

Prospective authors are invited to submit papers of no more than eight pages in IEEE double-column conference style (U.S. Letter format), including results, figures and references, with a maximum file size of 4MB, in PDF format. More information regarding the submission process can be found at the conference website http://www.ntu.edu.sg/home/epnsugan/index_files/SSCI2013/index.html.

The papers are to be submitted via the official conference website submission form where "Special Session on Scalable Evolutionary Logistic Planning" should be selected as first research topic. (CIPLS will be #22a in the list of topics and our Special Session will appear as #22s1 just below it.)

• Thomas Weise, University of Science and Technology of China, Hefei, China
• Jörg Lässig, University of Applied Sciences Zittau/Goerlitz, Germany
• Alexandre Devert, University of Science and Technology of China, Suzhou, China
• Yi Mei, Chinese University of Hong Kong, Hong Kong, China

• Wenxiang Chen, Colorado State University, USA
• Alexandre Devert, University of Science and Technology of China, China
• Christian Hochmuth, Bosch Rexroth, The Drive & Control Company, Germany
• Oliver Kramer, Carl von Ossietzky University Oldenburg, Germany
• Peter Köchel, Chemnitz University of Technology, Germany
• Jörg Lässig, University of Applied Sciences Zittau/Goerlitz, Germany
• Rui Li, Universiteit Leiden, The Netherlands
• Yi Mei, Chinese University of Hong Kong, China
• Marie-Ange Manier, University of Technology of Belfort Montbeliard, France
• Stefan Niemczyk, University of Kassel, Germany
• Jin Ouyang, University of Science and Technology of China, China
• Jose Antonio Pascual, University of the Basque Country, Spain
• A.K. Qin, INRIA Grenoble Rhone-Alpes, France
• Georg Ringwelski, University of Applied Sciences Zittau/Goerlitz, Germany
• Ehsan Shafiee, North Carolina State University, USA
• Markus Wagner, University of Adelaide, Australia
• Mingxu Wan, Giant Interactive Group, Inc., China
• Yu Wang, IBM Research China
• Thomas Weise, University of Science and Technology of China, China
• Lining Xing, National University of Defense Technology, China
• Zhenyu Yang, National University of Defense Technology, China

The SSCI is one of the two flagship biennial international meetings sponsored by the IEEE Computational Intelligence Society promoting all aspects of computational intelligence. The IEEE SSCI 2013 co- locates several technical meetings at one location. This event attracts top researchers, professionals, and students from around the world. Regular registration includes attendance of any session of any technical meeting, complete set of the proceedings of all meetings, lunches, coffee breaks and the banquet. The IEEE SSCI meeting features a large number of keynote, tutorial, panel and special sessions all of which are open to all participants.

Each meeting will consider awarding best student paper and best overall paper awards. The IEEE SSCI 2013 will also offer a number of travel grants for students and travel grants for researchers from developing countries. The conference proceedings of the IEEE SSCI have always been included in the IEEE Xplore and indexed by all other important databases.

http://www.ntu.edu.sg/home/epnsugan/index_files/SSCI2013/index.html

The management of production and logistics systems in today's fierce competition environment is a difficult task and has become progressively complex. Major changes in products, processes, technologies, and societies bring along remarkable challenges and increasing market demands. Modelling and optimisation of the complex problems arising in production and logistics systems is of paramount importance in surviving and achieving competitive gains in productivity and quality.

In recent years, the advancements in computer technology have allowed researchers to tackle large-scale problems and to develop and integrate efficient optimisation techniques for solving them. Within this context, CIPLS aims at addressing issues related to the design, planning, control, and continuous improvement of production and logistics systems using computational intelligence, including local search methods, Evolutionary Algorithms and other nature-inspired optimisation techniques. The intention is to cover various aspects of production from aggregate planning to shop-floor execution systems and modelling, planning and control of logistics systems. Studies incorporating real-world applications are highly encouraged.

http://people.sabanciuniv.edu/catay/CIPLS2013.htm
http://www.ntu.edu.sg/home/epnsugan/index_files/SSCI2013/CIPLS2013.htm