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META-HEURISTICS  September 2009

META-HEURISTICS September 2009

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Subject:

2nd Call For Papers EvoCop 2009

From:

Peter Merz <[log in to unmask]>

Reply-To:

Peter Merz <[log in to unmask]>

Date:

Fri, 11 Sep 2009 09:43:24 +0100

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=======================================================

                       SECOND CALL FOR PAPERS

                            EvoCOP 2010

      The Tenth European Conference on Evolutionary Computation
          and Metaheuristics in Combinatorial Optimization


                 Istanbul, Turkey, 7-9 April 2010

               (Submission deadline 4th November 2009)

                      http://www.evostar.org
=======================================================

Topics
------

Metaheuristics are used to solve difficult combinatorial optimization problems appearing 
in various industrial, economic, and scientific domains. Prominent examples of 
metaheuristics include: evolutionary algorithms, simulated annealing, tabu search, scatter 
search and path relinking, memetic algorithms, ant colony and particle swarm 
optimization, variable neighborhood search, iterated local search, greedy randomized 
adaptive search procedures, estimation of distribution algorithms, and hyperheuristics. 
Successfully solved problems include scheduling, timetabling, network design, 
transportation and distribution problems, vehicle routing, traveling salesman, graph 
problems, satisfiability, packing problems, planning problems, and general mixed integer 
programming.

The EvoCOP series, started in 2001 and held annually since then, was the first event 
specifically dedicated to the application of evolutionary computation and related methods 
to combinatorial optimization problems. Following the general trend of hybrid 
metaheuristics and diminishing boundaries between the different classes of 
metaheuristics, EvoCOP broadened its scope in 2006, and now explicitly invites 
submissions on any kind of metaheuristic for combinatorial optimization. All accepted 
papers will be presented orally at the conference and printed in the proceedings published 
by Springer in the LNCS series (see LNCS volumes 2037, 2279, 2611, 3004, 3448, 3906, 
4446, 4972 and 5482 for the previous proceedings).

Topics of interest include, but are not limited to:

- Applications of metaheuristics to combinatorial optimization problems
- Novel application domains for metaheuristic optimisation methods
- Representation techniques
- Neighborhoods and efficient algorithms for searching them
- Variation operators for stochastic search methods
- Constraint-handling techniques
- Hybrid methods and hybridization techniques
- Parallelization
- Theoretical developments
- Search space analyses
- Comparisons between different (also exact) techniques
- Automated tuning of metaheuristics using machine learning, evolutionary and other 
approaches

The conference will be held in conjunction with EuroGP2010 (the 13th European 
Conference on Genetic Programming), EvoBIO 2010 (the 8th European Conference on 
Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics), and 
EvoWorkshops 2010 (including specialist workshops on a range of evolutionary 
computation topics and applications), in a joint event collectively known as EvoStar 2010.

 
Submission
----------

Submissions will be done electronically using the online submission service.
More details will be available at the conference website

http://www.evostar.org

Papers must be formatted following Springer LNCS guidelines, with no more than 12 
pages. The submission deadline is 4th November, 2009.

IMPORTANT: The reviewing process will be double-blind, so please omit information about 
the authors in the submitted paper. The submissions will be peer reviewed by at least 
three members of the program committee.

 
Program Chairs
--------------

Peter Cowling (University of Bradford, UK)
Peter Merz (Technical University of Kaiserslautern, Germany)

 
More Information
----------------

More detailed information on the event, including venue, committees, contact addresses, 
etc., can be found at the Evo* homepage:

http://www.evostar.org

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