Campus Event Calendar
Event Entry
What and Who
Evolutionary Diversity Optimisation: Introduction and Recent Results
Frank Neumann
Other:
AG1 Advanced Mini-Course
Frank Neumann was a member of D1 group from 2008 -- 2010.
AG 1
AG Audience
English
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Date, Time and Location
Thursday, 27 June 2024
13:00
30 Minutes
E1 4
024
Saarbrücken
Abstract
In the classical setting evolutionary algorithms (EAs) are used to
compute a single solution of high quality with respect to the objective function
or a set of trade-off solutions in the field multi-objective optimization where
one deals with multiple, usually conflicting objectives. Traditionally,
diversity preservation is introduced to prevent premature convergence. In many
engineering applications and in the field of algorithm selection/configuration
however, it is beneficial to produce a set of solutions that is (1) of high
quality and (2) diverse with respect to the search space and/or some features of
the given problem. Evolutionary diversity optimization enables the computation
of a large variety of new and innovative solutions that are unlikely to be
produced by traditional evolutionary computation methods for single-objective or
multi-objective optimization. In this talk, I will give an introduction into
evolutionary diversity optimization and highlight some recent results from the
areas of communication networks and health.
compute a single solution of high quality with respect to the objective function
or a set of trade-off solutions in the field multi-objective optimization where
one deals with multiple, usually conflicting objectives. Traditionally,
diversity preservation is introduced to prevent premature convergence. In many
engineering applications and in the field of algorithm selection/configuration
however, it is beneficial to produce a set of solutions that is (1) of high
quality and (2) diverse with respect to the search space and/or some features of
the given problem. Evolutionary diversity optimization enables the computation
of a large variety of new and innovative solutions that are unlikely to be
produced by traditional evolutionary computation methods for single-objective or
multi-objective optimization. In this talk, I will give an introduction into
evolutionary diversity optimization and highlight some recent results from the
areas of communication networks and health.
Contact
Nidhi Rathi
+49 681 9325 1134
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Virtual Meeting Details
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897 027 2575
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Nidhi Rathi, 06/18/2024 15:52 -- Created document.