Institute for Operational Research,
Systems Design & Financial Services
Institute for Operational Research,
Systems Design & Financial Services
 |
Fuzzy Greedy Search in
Combinatorial Optimisation Kaveh Sheibani (Author)
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Book Description
In recent years, there has been a growth of interest in the development
of systematic search methods for solving problems in operational research and
artificial intelligence. This monograph introduces a new idea for the
integration of approaches for hard combinatorial optimisation problems. The
proposed methodology evaluates objects in a way that combines fuzzy reasoning
with a greedy mechanism. In other words, a fuzzy solution space is exploited
using greedy methods. This seems to be superior to the standard greedy version.
The monograph consists of two main parts. The first part focuses on description
of the theory and mathematics of the so-called fuzzy greedy evaluation concept.
The second part demonstrates through computational experiments, the
effectiveness and efficiency of the proposed concept within search, optimisation
and learning systems for hard combinatorial optimisation problems.
Copyright © 2011 Tadbir Institute for Operational
Research, Systems Design and Financial Services Ltd.
Last updated: 07/04/11.
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