Workshop on Future
Directions in EC
CEC 2003
10 December 2003,
10 am – 12 noon
Ian:
Hybridization of EC with
others, with hill climbing (at the end of the
evolution).
More should be done (not
much has been done since the last meeting).
Not enough in making use
of the “reproduction” results, e.g., Reproduction
of results are difficult from existing publications.
Carlos:
Industries look. Difficulties
in Mexico to convince the industries.
Int. Collaborations: Funding
is diff. from US, but there are some from south
ame., Europe.
EC framework: teaching
MOEA should be in the
EC framework. More therectical work, foundation
and mathematics, liaise with other OR researchers, more statistics in
MOEA. Standard benchmark, public domain software for reproduction
Kalyan:
Important points to ponder
in EC research:
Convincing applications:
Some potential topics:
Gary:
Industrial application
-
Problems with industry
- Current solutions: Is the industry satisfied with
the current solutions to
the problem? Interest in EC is increasing at least within biology
- Future solution: is EC an answer?
Hybridization
Increases acceptance of
approach
There appears to be an
increase in hybridization methods in CEC 2003
Bridge building
CEC03 and future
- Increase application,
- Translation to industrial
research
- Key hybridization of
methods
- Introduction of new
approaches from the EC community to other
problems.
Remaining problems
- Lack of statistical
analysis/multiple sampling
- Lack of parameter tuning
- Open to new EC approaches...
any approach that solves the problem the
Best,
-
Building better bridges
- Looking at the bridge from both sides
- Interpreting how the EC community envisions bridge
building
Xin Yao:
Hussesin:
Briefing on the UNSW EC
research group.
Industry applications:
Need a prototype
Teaching – problems
as students don’t have the proper background.
Difficult to convince them the use of heuristics in EC
Questions:
Popularities are increased,
but could it be a premature convergence?
Gary: Reviewers need to
contribute in terms of quality of the papers.