EvoNUM 2017 –Bio-inspired algorithms for continuous parameter optimisation
Track within the EvoApplications 2017 Conference
Part of the Evo* 2017 Event
Amsterdam, The Netherlands, 19-21 April 2017
http://www.evostar.org/2017/cfp_evonum.php
AN EXTENDED VERSION OF THE BEST EvoAPPLICATIONS PAPERS WILL BE PUBLISHED IN A SPECIAL ISSUE OF THE MEMETIC COMPUTING JOURNAL (2015 Impact Factor: 0.9)
__Introduction__
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. 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...
The EvoNUM track within the EvoApplications Conference will be part of Evo* 2017, a joint event which will also incorporate EuroGP 2017,
the 20th European Conference on Genetic Programming, EvoCOP 2017, the 17th European Conference on Evolutionary Computation in Combinatorial Optimisation, and EvoMUSART 2017, the 6th International Conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design.
__Topics of Interest__
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
- Real world applications
__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. Page limit is 16 pages.
Please provide up to five keywords in your Abstract.
__Important dates common to all Evo* events__
- Submission Deadline: 1 November 2016
- Notification: 9 January 2017
- Camera-ready: 25 January 2017
- Mandatory registration per paper: 1 February 2017
- Evo* dates: 19-21 April 2017
__EvoNUM chair__
Anna I Esparcia-Alcazar, Universitat Politècnica de València, Spain
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