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Subject:

SLS 2009: deadline extended to April 15, 2009

From:

Thomas Stützle <[log in to unmask]>

Reply-To:

Thomas Stützle <[log in to unmask]>

Date:

Tue, 24 Mar 2009 23:00:06 +0000

Content-Type:

text/plain

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Due to a number of requests, the deadline for SLS 2009 has been
extended to

         April 15, 2009.

Website: http://iridia.ulb.ac.be/sls2009/

Publication: Accepted papers are published in the Lecture Notes in
Computer Science (LNCS) series of Springer Verlag.

SLS 2009 is a forum for all researchers that are interested in a sound
methodology for the design, implementation and analysis of stochastic
local search algorithms and metaheuristics.

SLS 2009 seeks for high-quality manuscripts that report on research,
applications of SLS algorithms, and recent developments on topics
related to the workshop. All papers will be peer reviewed.

Workshop Chairs:

Thomas Stuetzle, IRIDIA, ULB, Brussels, Belgium
Mauro Birattari, IRIDIA, ULB, Brussels, Belgium
Holger H. Hoos, CS Department, UBC, Vancouver, Canada


P.S.: Due to some server problems, the webpage was offline for about two days; these problems have been solved. Apologies for the inconveniences caused by this.


-------



	    Engineering Stochastic Local Search Algorithms
				 ---
      Designing, Implementing and Analyzing Effective Heuristics

			       SLS 2009
				   

		3-5 September, 2009. Brussels, Belgium

	      More details and up-to-date information at
		        iridia.ulb.ac.be/sls2009

				   

				   
Scope of the Workshop 
======================


  Stochastic local search (SLS) algorithms are among the most powerful
  techniques for solving computationally hard problems in many areas
  of computing science, operations research and engineering. SLS
  techniques range from rather simple constructive and iterative
  improvement algorithms to general-purpose SLS methods, also widely
  known as metaheuristics, such as ant colony optimization,
  evolutionary computation, iterated local search, memetic algorithms,
  simulated annealing, tabu search and variable neighbourhood search.

  In recent years, it has become evident that the development of
  effective SLS algorithms is a highly complex engineering process
  that typically combines aspects of algorithm design and
  implementation with empirical analysis and problem-specific
  background knowledge. The difficulty of this process is in part due
  to the complexity of the problems being tackled and in part due to
  the large number of degrees of freedom researchers and practitioners
  face when developing SLS algorithms.

  This development process needs to be assisted by a sound methodology
  that adresses the issues arising in the phases of algorithm design,
  implementation, tuning and experimental evaluation. In addition,
  more research is required to understand which SLS techniques are
  best suited for particular problem types and to better understand
  the relationship between algorithm components, parameter settings,
  problem characteristics and performance.



Relevant Research Areas
========================

  The aim of this workshop is to stress the importance of an
  integration of relevant aspects of SLS research into a more coherent
  engineering methodology and to bring together researchers that work
  in various fields, including computing science, operations research,
  metaheuristics, algorithmics, statistics and application areas.

  SLS 2009 solicits contributions dealing with any aspect of
  engineering stochastic local search algorithms. Typical, but not
  exclusive, topics of interest are:

    + Methodological developments for the implementation of SLS
      algorithms (engineering procedures, integration of tools in the
      SLS engineering process, ...)

    + In-depth experimental studies of SLS algorithms (behavior of SLS
      algorithms, comparison of SLS algorithms, ...), problem
      characteristics (search space analysis, ...) and their
      impact on algorithm performance.

    + Tools for the assistance in the development process of SLS
      algorithms (software libraries, automatic and semi-automatic
      tuning procedures, learning techniques, ...).

    + Case studies in the principled development of well designed 
      SLS algorithms for practically relevant problems.

    + Aspects that become relevant when moving from "classical"
      NP-hard problems to those including multiple objectives,
      stochastic information or dynamically changing data.

    + New algorithmic developments (usage of AI/OR techniques, large
      scale neighbourhood searches, new SLS methods, data structures,
      distributed algorithms, ...)

    + Theoretical analysis of  SLS behaviour and their impact
      on algorithm design (analysis of operators, dynamic behaviour 
      of SLS algorithms, ...) 



Publication Details
====================

  The workshop proceedings will be published in Springer's Lecture
  Notes in Computer Science (LNCS) series.



Best Paper Award
=================

  A best paper award will be presented at the workshop.



Important Dates
===============

  Extended submission deadline       15 April, 2009
  Notification of acceptance         22 May, 2009
  Camera ready copy                  5 June, 2009
  Workshop                           3-5 September, 2009



SLS 2009 Workshop Committee
============================

General Chairs

    Thomas Stuetzle, IRIDIA, CoDE, ULB, Brussels, Belgium
    Mauro Birattari, IRIDIA, CoDE, ULB, Brussels, Belgium
    Holger H. Hoos, CS Department, UBC, Vancouver, Canada







      

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