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First European Workshop on Bio-inspired algorithms for continuous parameter optimisation

 

EvoNUM detailed programme.

 


"The main application areas of EC techniques [in industry] are multi-objective optimization, classification, data mining and numerical optimization" [1]


Many engineering problems of both theoretical and practical interest involve choosing the best configuration of a set of parameters to achieve a specified objective. Numerical optimisation refers to the case when these parameters take continuous real values, as opposed to combinatorial optimisation, which deals with discrete values. Examples include designing production processes for maximum efficiency, optimal parameter adjustment for controllers and many others. EvoNUM focuses on such problems.

We seek high quality papers involving the application of bio-inspired algorithms (genetic algorithms, genetic programming, evolution strategies, differential evolution, particle swarm optimization, evolutionary programming, simulated annealing... and their hybrids) to continuous optimisation problems in engineering. We also welcome cross-fertilisation between Nature-inspired algorithms and more classical numerical optimisation algorithms.

EvoNUM deals with engineering applications where continuous parameters or functions have to be optimised, in fields such as control, chemistry, agriculture, electricity, building and construction, energy, aerospace engineering, design optimisation...

EvoNUM aims to cover areas that include but are not limited to:

  • Local learning of parameters
  • Mechanisms to incorporate constraints
  • Theoretical developments
  • Performance measures and performance analysis
  • Benchmark problems [2]

EvoNUM chairs

Anna I Esparcia-Alcázar, Instituto Tecnológico de Informática, Spain - aesparcia AT iti.upv.es

Anikó Ekárt, Aston University, United Kingdom - ekart AT aston.ac.uk


EvoNUM Programme Committee

Eva Alfaro-Cid, Instituto Tecnologico de Informatica, Spain,
Anne Auger, INRIA, France
Wolfgang Banzhaf, Memorial University of Newfoundland, Canada
Hans-Georg Beyer, FH Vorarlberg, Austria
Xavier Blasco, Universidad Politécnica de Valencia, Spain
Ying-ping Chen, National Chiao Tung University, Taiwan
Carlos Cotta, Universidad de Málaga, Spain,
Marc Ebner, Universität Würzburg, Germany
Francisco Fernández, Universidad de Extremadura, Spain
Nikolaus Hansen, INRIA, France
Bill Langdon, University of Essex, UK
JJ Merelo, Universidad de Granada, Spain
Boris Naujoks, University of Dortmund, Germany
Una-May O'Reilly, MIT, USA
Mike Preuss, University of Dortmund, Germany
Günter Rudolph, University of Dortmund, Germany
Marc Schoenauer, INRIA, France
P. N. Suganthan,Nanyang Technological University, Singapore
Ke Tang, University of Science and Technology of China, China
Darrell Whitley, Colorado State University, USA


EvoWorkshops coordinator

Mario Giacobini, University of Torino, Italy. - Mario.Giacobini(at)unito.it


Local Organising Committee

Ivanoe De Falco, ICAR-CNR, Italy - evostar(at)na.icar.cnr.it
Antonio Della Cioppa
, University of Salerno, Italy
Ernesto Tarantino
, ICAR-CNR, Italy
Giuseppe Trautteur
, University of Naples Federico II, Italy


Evo* Coordinator and Administrative Contact

Jennifer Willies, School of Computing, Napier University, Scotland, UK. - j.willies(at)napier.ac.uk


Evo* Publicity Chair

Anna I Esparcia, Instituto Tecnologico de Informatica, Spain. - aesparcia(at)iti.upv.es


[1] GS Hornby & T Yu, "EC Practitioners: Results of the First Survey", SIGEVOlution, Newsletter of the ACM Special Interest Group on Genetic and Evolutionary Computation, Vol. 2(1), Spring 2007 www.sigevolution.org

[2] Authors are also invited to submit their best algorithms to http://www.cs.bham.ac.uk/research/projects/ecb/