Loading ...
Sorry, an error occurred while loading the content.

4517CfP: SSCI CIPLS Special Session on Benchmarking and Testing for Production and Logistics Optimization

Expand Messages
  • Thomas Weise
    May 29, 2014
                 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      SSCI 2014), invites the submission of original and unpublished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  June      2014
      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@....


      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