Sunday, November 16, 2014

[DMANET] 2015 IEEE CEC Special Session and Competition on: Niching Methods for Multimodal Optimization [CFP]

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** Please kindly forward to those who may be interested. **

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Call for Papers
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2015 IEEE Congress on Evolutionary Computation Special Session and
Competition on: "Niching Methods for Multimodal Optimization"

May 25 -- 28, 2015, Sendai, Japan.
URL: http://goanna.cs.rmit.edu.au/~xiaodong/cec15-niching/
URL: http://goanna.cs.rmit.edu.au/~xiaodong/cec15-niching/competition/

============
Objectives
============

Population based meta-heuristic algorithms such as Evolutionary
Algorithms (EAs) in their original forms are usually designed for
locating a single global solution. These algorithms typically converge
to a single solution because of the global selection scheme used.
Nevertheless, many real-world problems are "multimodal" by nature, i.e.,
multiple satisfactory solutions exist. It may be desirable to locate
many such satisfactory solutions so that a decision maker can choose one
that is most proper in his/her problem domain. Numerous techniques have
been developed in the past for locating multiple optima (global or
local). These techniques are commonly referred to as "niching" methods.
A niching method can be incorporated into a standard EA to promote and
maintain formation of multiple stable subpopulations within a single
population, with an aim to locate multiple globally optimal or
suboptimal solutions. Many niching methods have been developed in the
past, including crowding, fitness sharing, derating, restricted
tournament selection, clearing, speciation, etc. In more recent times,
niching methods have also been developed for other meta-heuristic
algorithms such as Particle Swarm Optimization and Differential Evolution.

Most of existing niching methods, however, have difficulties which need
to be overcome before they can be applied successfully to real-world
multimodal problems. Some identified issues include: difficulties to
pre-specify some niching parameters; difficulties in maintaining found
solutions in a run; extra computational overhead; poor scalability when
dimensionality is high. This special session aims to highlight the
latest developments in niching methods, bring together researchers from
academia and industries, and explore future research directions on this
topic. We invite authors to submit original and unpublished work on
niching methods. Topics of interest include but are not limited to:

- Theoretical developments in multimodal optimization
- Niching methods that incurs lower computational costs
- Handling the issue of niching parameters in niching methods
- Handling the scalability issue in niching methods
- Handling problems characterized by massive multi-modality
- Adaptive or parameter-less niching methods
- Multiobjective approaches to niching
- Multimodal optimization in dynamic environments
- Niching methods applied to discrete multimodal optimization problems
- Niching methods applied to constrained multimodal optimization problems
- Niching methods using parallel or distributed computing techniques
- Benchmarking niching methods, including test problem design and
performance
metrics
- Comparative studies of various niching methods
- Niching methods applied to engineering and other real-world multimodal
optimization problems

Please note that we are NOT interested if the adopted task is to find
a single solution of a multimodal problem.

Furthermore, a companion competition on Niching Methods for Multimodal
Optimization will also be organized in conjunction with our special
session. See further information at:

http://goanna.cs.rmit.edu.au/~xiaodong/cec15-niching/competition/

The aim of the competition is to provide a common platform that
encourages fair and easy comparisons across different niching
algorithms. The competition allows participants to run their own
niching algorithms on 20 benchmark multimodal functions with different
characteristics and levels of difficulty. Researchers are welcome to
evaluate their niching algorithms using this benchmark suite, and
report the results by submitting a paper to the associated niching
special session (i.e., submitting via the online submission system of
CEC'2015). In case it is too late to submit the paper (i.e., passing
the CEC'2015 submission deadline), author may submit their results in a
report directly to the special session organizers, in order to be
counted in the competition.


================
Important Dates
================

- Paper Submission: 19 December 2014
- Notification of Acceptance: 20 February 2015
- Final Paper submission: 13 March 2015

Paper Submission:

Manuscripts should be prepared according to the standard format and
page limit specified in CEC 2015. For more submission instructions,
please see the CEC'2015 submission page at: http://sites.ieee.org/cec2015/
Please indicate during submission that your paper is submitted to this
special session.

==========================
Special Session Organizers
==========================

Xiaodong Li, RMIT University, Australia
Andries Engelbrecht, University of Pretoria, South Africa
Michael G. Epitropakis, University of Stirling, Scotland

--
The University of Stirling has been ranked in the top 12 of UK universities for graduate employment*.
94% of our 2012 graduates were in work and/or further study within six months of graduation.
*The Telegraph
The University of Stirling is a charity registered in Scotland, number SC 011159.

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