Nash Dominance with Applications to Equilibrium Problems with Equilibrium Constraints
Koh, Andrew
(2010)
Nash Dominance with Applications to Equilibrium Problems with Equilibrium Constraints.
In:
Soft Computing in Industrial Applications.
14th Online Conference on Soft Computing in Industrial Applications (WSC14), 19-29 Nov 2009, Online.
Advances in Intelligent and Soft Computing
(75).
Springer
.
ISBN 978-3-642-11281-2
Abstract
We examine a novel idea for the detection of Nash Equilibrium developed in Lung and Dumitrescu 2008 and apply it to Equilibrium Problems with Equilibrium Constraints (EPECs). EPECs are Nash games which uniquely feature players constrained by a condition governing equilibrium of a parametric system. By redefining the selection criteria used in evolutionary methods, EPECs can be solved using Evolutionary Multiobjective Optimization algorithms. We give a proposed algorithm (NDEMO) and illustrate it with numerical examples.
Metadata
Authors/Creators:
Koh, Andrew (a.koh@its.leeds.ac.uk)
Copyright, Publisher and Additional Information:
To be published in Springer "Advances in Intelligent and Soft Computing".
Keywords:
Optimization, Equilibrium Problems with Equilibium Constraints, Nash Games
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