Evostar 2016

• EuroGP
  
• EvoCOP
  
• EvoMUSART
  
• EvoApplications
  
  
  • EvoBAFIN
  • EvoBIO
  • EvoCOMNET
  • EvoCOMPLEX
  • EvoENERGY
  • EvoGAMES
  • EvoIASP
  • EvoINDUSTRY
  • EvoNUM
  • EvoPAR
  • EvoRISK
  • EvoROBOT
  • EvoSTOC
  EvoStar Best Paper Candidates
  EvoStar Best Paper Awards 2016
  

Bio-inspired Algorithms for Continuous Parameter Optimisation

''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.

[1] GS Hornby and 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

Areas of Interest and Contributions

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, etc. 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

PUBLICATION DETAILS

Accepted papers will appear in the proceedings of EvoStar, published in a volume of the Springer Lecture Notes in Computer Science, which will be available at the Conference.Submissions must be original and not published elsewhere. The submissions will be peer reviewed by at least three members of the program committee. The authors of accepted papers will have to improve their paper on the basis of the reviewers comments and will be asked to send a camera ready version of their manuscripts. At least one author of each accepted work has to register for the conference and attend the conference and present the work.The reviewing process will be double-blind, please omit information about the authors in the submitted paper.

Submission Details

Submissions must be original and not published elsewhere. They will be peer reviewed by members of the program committee. The reviewing process will be double-blind, so please omit information about the authors in the submitted paper.

Submit your manuscript in Springer LNCS format.

Please provide up to five keywords in your Abstract

Page limit: 16 pages

FURTHER INFORMATION

Further information on the conference and co-located events can be found in: http://www.evostar.org

EvoNUM track chair

• Anna I Esparcia-Alcázar
  Universitat Politècnica de València, Spain
  aesparcia(at)pros.upv.es

Programme Committee

• Hans-Georg Beyer, Vorarlberg University of Applied Sciences, Austria
• Ying-ping Chen, National Chiao Tung University, Taiwan
• Marc Ebner, Ernst Moritz Arndt Universitaet Greifswald, Germany
• Bill Langdon, University College London, UK
• JJ Merelo, Universidad de Granada, Spain
• Salma Mesmoudi, Institut des Systèmes Complexes, France
• Ferrante Neri, De Montfort University, UK
• Petr Pošík, Czech Technical University in Prague, Czech Republic
• Mike Preuss, WWU Münster, Germany
• Ivo Fabian Sbalzarini, Max Planck Institute of Molecular Cell Biology and Genetics, Germany
• Guenter Rudolph, University of Dortmund, Germany
• Marc Schoenauer, INRIA, France
• Olivier Teytaud, INRIA, France