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Call for Papers: Special Sessions

Special sessions are organized as part of LION5 as a way to focus submissions and encourage more interaction between specific communities. In general, submission and publication rules are the same as for the general call for papers, with the organizers of the special sessions coordinating and helping in identifying competent reviewers.

"Intelligent Multiobjective OptimzatioN" (IMON)

Organizers: Dr. Dario Landa-Silva, University of Nottingham, UK, Prof Qingfu Zhang University of Essex, UK, Prof. David Wolfe Corne Heriot-Watt University, UK, Dr. Hui Li, Xi'an Jiaotong University, China

Multiobjective optimization arises in many real-world applications in areas such as engineering, business, computer science, biological sciences, scientific computation, etc. Very often, the objectives conflict with each other. There is no single solution which can optimize all the objectives simultaneously. In recent years considerable progress has been achieved in the field of multiobjective optimization including: development of specialised algorithms, design of assessment metrics, development of benchmark problems, development of frameworks and libraries, performance and analysis of algorithms, applications to a variety of real-world problems, interaction with multicriteria decision making techniques, tackling uncertainty, noise and many objectives, etc.

Within the context of the LION conference, the purpose of the IMON session is to provide a forum for contributions in the field of multiobjective optimization that incorporate some kind of learning and/or intelligent components. For example, learning the process to establish preferences among objectives, intelligent niching and diversity methods, intelligent multiobjective operators, etc. We seek papers addressing any of (but not limited to) the aspects listed above and that also incorporate "intelligent" mechanisms to better conduct multiobjective optimization.

Papers on all topics related to the session themes are solicited. Prospective authors can submit papers via the online submission system of LION 2011. Authors are advised to be careful when selecting a paper category. The paper categories for LION-IMON are (1) LION-IMON: Regular Paper, (2) LION-IMON: Short paper, and (3) LION-IMON: Work for oral presentation only. In addition, an e-mail message including title of paper, author's names and affiliation, and abstract must be sent to the session chair: Dr Dario Landa-Silva, email: dario.landasilva@nottingham.ac.uk.

All accepted novel and unpublished papers will be published in the post-conference proceedings of LION 5.

"Performance Prediction" (LION-PP)

Organizers: Professor Kate Smith-Miles and Dr. Leo Lopes, Monash University, Australia

There is much that can be learned about the behavior of optimization algorithms on different classes of problem instances by studying meta-data. Such meta-data comprises large sets of diverse problem instances, together with measurable features of the instances, along with the performance results of a variety of algorithms. Machine learning methods can be used to learn the relationships in the meta-data to predict which algorithm is likely to perform best for a given problem instance, as well as to generate insights into why some algorithms are better suited to certain problem classes. Advances in the development of suitable features to characterize problem instances are needed, as well as novel approaches to learning the relationships in the meta-data.

This special session aims at providing a forum for researchers to exchange ideas, identify future research directions and build research links.

Papers on all topics related to the session's theme are solicited. Prospective authors can submit papers via the online submission system of LION 2011. Authors are advised to be careful when selecting a paper category. The paper categories for LION-PP are (1) LION-PP: Regular Paper, (2) LION-PP: Short paper, and (3) LION-PP: Work for oral presentation only. In addition, an e-mail message including title of paper, author's names and affiliation, and abstract must be sent to: Prof Kate Smith-Miles, e-mail: kate.smith-miles@sci.monash.edu.au.

All accepted novel and unpublished papers will be published in the post-conference proceedings of LION5.

"Self-tuning, self-configuring and self-generating evolutionary algorithms" (Self* EAs)

Organizers: Gabriela Ochoa University of Nottingham, UK, and Marc Schoenauer, INRIA Saclay - Ile-de-France and Microsoft/INRIA joint center, Saclay, France.

Despite the success of evolutionary algorithms in solving difficult real-world optimization problems, their application to newly encountered problems, or even new instances of known problems, remains problematic - even for experienced researchers of the field not to mention newcomers, or scientists and engineers from other areas. The difficulties arise mainly from the significant range of algorithm and/or parameter choices involved, and the lack of guidance as how to proceed for choosing them. Several approaches have been proposed to reduce the role of the human expert in the process of designing effective search algorithms. Such approaches often make use of machine learning techniques. They can be designed as meta-level search over either the tuning parameters, or building blocks made of heuristic components. Focused on evolutionary algorithms, this special session will also borrow to operations research and artificial intelligence at large. The following 3 general paths toward automated heuristic design will be distinguished: 1) tuning: the process of adjusting the control parameters of the algorithm; 2) configuring: the process of selecting and using existing algorithmic components (such as variation operators); 3) generating: the process of creating new heuristics from existing sub-components borrowed from other search methods.

Papers on all topics related to the session themes are solicited. Prospective authors should submit papers via the online submission system of LION 2011. Authors are advised to be careful when selecting a paper category. The paper categories for LION-S*EA are (1) LION-S*EA: Regular Paper, (2) LION-S*EA: Short paper, and (3) LION-S*EA: Work for oral presentation only. In addition, an e-mail message including paper Id, title of paper, author's names, and abstract must be sent to the session chairs: Gabriela.Ochoa@nottingham.ac.uk and Marc.Schoenauer@lri.fr.

All accepted novel and unpublished papers will be published in the post-conference proceedings of LION5.

"Software and Applications" (LION-SWAP)

Organizers: Mauro Brunato (University of Trento, Italy), Youssef Hamadi (Microsoft Research, Cambridge, UK), Silvia Poles (EnginSoft, Italy), Andrea Schaerf (University of Udine, Italy)

Optimization research benefits from potential applications in possibly any human endeavour: indeed, optimization is a very natural way to express a wide variety of problems. Moving optimization problems and algorithms out of academia and into the "real world", however, calls for joint efforts in different areas, such as the design of a sound formalism for the description of the systems being addressed; efficient implementations of algorithms for data sizes that were not considered in preliminary investigations; presentation of potentially large solution sets in a human-understandable way; integration of human expertise within the software and so on.

Topics of interest to the special session include (but are not limited to) optimization package engineering, user interfaces for optimization software, integration of optimization libraries in vertical applications, problems with time-consuming functions and with a high number of objectives, optimization data formats, solver competitions, interesting and innovative applications.

Papers on all topics related to the session's theme are solicited. Prospective authors can submit papers via the online submission system of LION5. Authors are advised to be careful when selecting a paper category. The paper categories for LION-SWAP are (1) LION-SWAP: Regular Paper, (2) LION-SWAP: Short paper, and (3) LION-SWAP: Work for oral presentation only. In addition, an e-mail message including title of paper, author's names and affiliation, and abstract must be sent to Mauro Brunato, e-mail: brunato@disi.unitn.it.

All accepted novel and unpublished papers will be published in the post-conference proceedings of LION5.