AMO 2014 - International Workshop on Advances in Multimodal Optimization

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!