International Workshop on

Advances in Multimodal Optimization

September 13 - 17, 2014, Ljubljana, Slovenia

Held in conjunction with the 13th International Conference on Parallel Problem Solving from Nature (PPSN 2014)

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About this Workshop

The workshop attempts to bring together researchers from evolutionary computation and related areas who are interested in Multimodal Optimization. This is a currently forming field, and we aim for a highly interactive and productive meeting that makes a step forward towards defining it. The Workshop will provide a unique opportunity to review the advances in the current state-of-the-art in the field of Niching methods. Further discussion will deal with several experimental/theoretical scenarios, performance measures, real-world and benchmark problem sets and outline the possible future developments in this area. Positional statements, suggestions, and comments are very welcome!


Multimodal Optimization is currently getting established as a research direction that collects approaches from various domains of evolutionary computation that strive for delivering multiple very good solutions at once. This workshop attempts to bring together researchers from many subfields of evolutionary computation and related areas who are interested in Multimodal Optimization. We intend to hold the workshop in a very interactive fashion, emphasizing discussion, exchange and possibly synthesis of opinions. Prospective topics will include, but are not limited to:

  • Adaptive or parameter-less niching methods
  • Benchmarking niching methods, including test functions and performance metrics
  • Comparative studies of various niching methods
  • Handling the issue of niching parameters in niching methods
  • Handling the scalability issue (both dimensionality and modality) in niching methods
  • Multiobjective approaches to niching
  • Theoretical analysis of niching methods
  • Niching methods applied to discrete optimization problems
  • Niching methods applied to constrained optimization problems
  • Niching methods applied to engineering and other real-world optimization problems
  • Niching methods applied to computational expensive optimization problems

Please note that we are NOT primarily interested in the global optimization task to find a single solution of a multimodal problem.

We invite authors/participants to submit new ideas, positional statements, and reviews/summaries/comments on existing work in the field of Multimodal Optimization in the form of extended abstracts (max 2 pages). The workshop will take place at PPSN 2014 in September 2014. Researchers working on finding multiple solutions of multimodal optimization problems are strongly encouraged to contribute!

Important Informations

Submission instructions

  • Submissions should have the form of extended abstracts up to two pages long, preferably formatted according to the plain article LaTeX style.
  • Send your extended abstract as a PDF attachment to

Important Dates

  • Abstract Submission: 30 May 2014
  • Notification of Acceptance:  3 June 2014
  • PPSN Conference: September 13-17, 2014


Dr. Mike Preuss

ERCIS, WWU Muenster,
Leonardo-Campus 3,
48149 M√ľnster, Germany

Dr. Michael G. Epitropakis

Computing Science and Mathematics, School of Natural Sciences,
University of Stirling,
Stirling FK9 4LA, Scotland.

Assoc. Prof. Xiaodong Li

School of Computer Science and Information Technology,
RMIT University,
Melbourne, VIC 3001, Australia.