Sunday, March 15, 2015

[DMANET] Non-Standard Multiobjective Optimization - Special Session at EURO 2015

Dear Colleagues,

We would like to invite you to submit an abstract to our session on

*Non-Standard Multiobjective Problems *

as part of the forthcoming EURO 27 Conference in Glasgow,
July 12-15, 2015 (​). A detailed description of the
session is given below.

To submit your abstract, please visit
and use the invitation code 1fe5a562. The submission deadline is on
March 16.

In order to submit a paper, you need to have a EURO account. If you do
not have one, please visit
and sign up for a new account.

The session organizers,
Richard Allmendinger and Joshua Knowles​


This session invites abstracts that address the development of optimization
techniques for non-standard multiobjective problems. The features of such
problems might include (but are not limited to) the following:

- Instead of evaluating the objective and constraint functions by
computational means, the execution of*physical experiments in the real
world* (i.e., cosmetics, detergents, pharmaceuticals, wind tunnel
experiments, taste experiments, to mention a few) is required. Such
experimental problems may be subject to time-consuming and expensive
evaluations, changing variables or objectives (e.g. due to an updated
problem formulation). Moreover, the evolution may be affected by
interruptions or unavailable resources, and the experimental equipment may
dictate some of the algorithm setup choices such as population size.

- The objective and/or constraint functions are *heterogeneous* in the
sense that some functions take longer to be evaluated than others, or are
more complex to optimize or satisfy than others due to differing landscape
structures, feasible regions and borders. Such problems may lead to missing
function values and introduce difficulties in converging to optima with
respect to some of the objective functions and/or satisfying some of the

- The 'objective' functions include *subjective criteria*, such as taste
or comfort. Expert or crowd-sourced evaluations are needed.​

- The input and preferences of several disciplines (e.g. aerodynamics
and structural input in an aircraft design problem) needs to be accounted
for to make optimal decisions in a *multidisciplinary optimization
environment*. Challenges in such problems include the intelligent
combination of different preferences, shared variables and objectives, and
ensuring consistency in the decision-making process.

We encourage submission of abstracts describing new concepts, strategies,
challenges and decision-making techniques in or for non-standard
multiobjective problems. In addition, we are interested in application
studies discussing the power and applicability of these novel methods to
real-world problems.

If you have any questions related to the session, then please contact the
session organizers, Richard Allmendinger ( and
Joshua Knowles (
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