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!
