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SSCI-CIPLS-Benchmarking 2014 : Special Session on Benchmarking and Testing for Production and Logistics Optimization

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Link: http://www.it-weise.de/documents/files/ssci14/index.html
 
When Dec 9, 2014 - Dec 12, 2014
Where Orlando, Florida, USA
Submission Deadline Jul 15, 2014
Notification Due Sep 5, 2014
Final Version Due Oct 5, 2014
Categories    evolutionary computation   production   logistics   benchmarking
 

Call For Papers

Special Session on Benchmarking and Testing for
Production and Logistics Optimization

2014 IEEE Symposium on Computational Intelligence in Production and Logistics
2014 IEEE Symposium Series on Computational Intelligence (SSCI 2014)
December 9-12, 2014, Orlando, Florida, USA
http://www.it-weise.de/documents/files/ssci14/index.html



Brief Description

The Special Session on Benchmarking and Testing for Production and
Logistics Optimization of the 2014 IEEE Symposium on Computational
Intelligence in Production and Logistics Systems (CIPLS 2014), part of
the 2014 IEEE Symposium Series on Computational Intelligence (IEEE
SSCI 2014), invites the submission of original and unpublished
research papers.

Logistics and production are two of the main sectors of any country's
industry. Increasing their efficiency is of utmost importance, not
only for the economy but also for environmental reasons. Here, small
percentages saved in terms of costs, time, or fuel can turn into large
absolute improvements. Optimization methods have been successfully
applied for this purpose for many years and are known to significantly
improve over the results of manual planning, design, scheduling, or
engineering. In this session, we solicit contributions that
investigate how to assess and compare the quality of optimization
methods in this domain - because choosing a better optimization
approach for a problem may yield a similar or even larger improvement
as moving from manual planning to optimization in the first place.

In conference and journal publications, usually optimization
algorithms are the center of attention. Presentations mainly focus on
introducing newly developed algorithms, sub-algorithms, and adaptation
strategies, which achieve better results on existing benchmark
instances. Even if a new optimization task is introduced, this
virtually always happens together with a new solution approach and
usually the latter is considered as the main contribution of the work.
The topics of benchmarking, evaluation, testing, and verification are
severely underrepresented, despite their importance. In this session,
however, the optimization algorithms take the back seat, while
benchmarking and performance assessment are the main theme.

This special session will provide a common forum to exchange ideas and
findings for researchers and practitioners who are interested in
comparing and testing Computational Intelligence methods in the domain
of production and logistic optimization. All accepted papers in this
session will be included in the Proceedings of the IEEE CIPLS 2014
published by IEEE Press and indexed by EI.



Topics of Interest

The main theme of the Special Session on Benchmarking and Testing for
Production and Logistics Optimization is the benchmarking, testing,
proofing of features, verification, and comparing of optimization
methods for production, logistics, and transportation systems. Within
this domain, the topics of interest therefore include, but are not
limited to:

o Experimentation
- Performance Measures for Optimization
- Benchmark Problems and Cases
- Experimental Designs
- Experimental Approaches
- Automation of Experiments and Evaluation
- Real-World Benchmark Instances

o Algorithm Comparison and Statistics
- Comparison Studies of Different Algorithms
- Statistical Evaluation of Algorithms
- Difficulty Measures for Optimization Problems
- Evaluation of Multi-Objective Algorithms and Problems

o Testing and Verification
- Testing Theory
- Software Testing (including Unit Testing)
- Theoretical Verification
- Assessment of Algorithm Performance in Productive Systems

o Theoretical Analysis
- Proofing of (Performance) Features
- Runtime Analysis and Comparison
- Convergence Proofs
- Formal Algorithm Comparison

o Machine Learning for Benchmarking
- Data Mining of Performance Data
- Classification of Algorithm Behavior



Instructions for Authors

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://ieee-ssci.org/.

The papers are to be submitted via the official conference website
submission form (http://ieee-cis.org/conferences/ssci2014/upload.php)
where "Special Session on Benchmarking and Testing for Production and
Logistics Optimization" should be selected as main research topic.


Paper Submission Deadline : 15 July 2014 (extended)
Notification of Acceptance : 05 September 2014
Camera-Ready Copy Due : 05 October 2014
Early Registration : 05 October 2014
Conference Presentation : 9-12 December 2014

For more information please contact Thomas Weise at tweise@ustc.edu.cn.


Session Chairs

- Thomas Weise, University of Science and Technology of China, Hefei, China
- Jörg Lässig, University of Applied Sciences Zittau/Görlitz, Germany


International Program Committee

- Thomas Bartz-Beielstein, Cologne University of Applied Sciences, Germany
- Josu Ceberio, University of the Basque Country, Spain
- Wenxiang Chen, Colorado State University, USA
- Jörg Lässig, University of Applied Sciences Zittau/Görlitz, Germany
- Marie-Ange Manier, Université de Technologie de Belfort-Montbéliard, France
- Yi Mei, RMIT University, Australia
- Jin Ouyang, China
- Petr Pošík, Czech Technical University, Czech Republic
- A.K. Qin, RMIT University, Australia
- Ehsan Shafiee, North Carolina State University, USA
- Jörg Stork, Cologne University of Applied Sciences, Germany
- Shigeyoshi Tsutsui, Hannan University, Japan
- Markus Wagner, University of Adelaide, Australia
- Thomas Weise, University of Science and Technology of China, Hefei, China
- Zhenyu Yang, National University of Defense Technology, China
- Yang Yu, Nanjing University, China



Hosting Events

2014 IEEE Symposium Series on Computational Intelligence (IEEE SSCI
2014)

Welcome to the sunshine of Orlando, Florida for the IEEE Symposium
Series on Computational Intelligence (IEEE SSCI 2014), a flagship
international symposium of symposia sponsored by the IEEE
Computational Intelligence Society (CIS) promoting all aspects of
Computational Intelligence (CI). The IEEE SSCI 2014 co-locates
multiple exciting symposiums at one single location, providing a
unique opportunity to encourage cross-fertilization and collaboration
in all areas of CI. The IEEE SSCI 2014 features a large number of
keynotes, tutorials, and special sessions. The IEEE SSCI 2014 will
also offer a number of travel grants as well as an exciting Doctoral
Consortium. In addition to the technical program, Orlando, "The Theme
Park Capital of the World", features tremendous world-class
entertainment, resorts, shopping, dining, and cultural activities.

http://ieee-ssci.org/


2014 IEEE Symposium on Computational Intelligence in Production and
Logistics Systems (CIPLS 2014)

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 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 to address 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/CIPLS2014.htm
http://140.113.34.10/CIPLS.html

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