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 chairsAnna 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 coordinatorMario Giacobini, University of Torino, Italy. - Mario.Giacobini(at)unito.it
Local Organising CommitteeIvanoe 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 ChairAnna 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/
|