Systematic Global Optimization Algorithm for a General Multilevel Multi Follower Stackelberg Nash Problems with Bounded Decision Range
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Date
2018-06-12
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Addis Ababa University
Abstract
Today, many decision makers decide a decision which is hard to accept and
could affect or leave to unpleasant situation to those who follows them in structural
arrangements. This is because of challenge of solving Structural multi level
interdependent set of objects. And most of computational model has challenge for
finding the optimal result of each object that considerer all the constraints and
limitations of each decision maker in both computational time and decision support
quality. This thesis develops a computational optimization computerized model based
on root finding technique for a bounded decision range in a non-cooperative
environment to reduce computational time and improve decision support quality.
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Keywords
Systematic Global, Optimization Algorithm, General Multilevel Multi Follower, Stackelberg Nash Problems, Bounded Decision Range