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Multiobjective Optimization Methodology - A Jumping Gene Approach (Paperback)
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Multiobjective Optimization Methodology - A Jumping Gene Approach (Paperback)
Series: Industrial Electronics
Expected to ship within 10 - 15 working days
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The first book to focus on jumping genes outside bioscience and
medicine, Multiobjective Optimization Methodology: A Jumping Gene
Approach introduces jumping gene algorithms designed to supply
adequate, viable solutions to multiobjective problems quickly and
with low computational cost. Better Convergence and a Wider Spread
of Nondominated Solutions The book begins with a thorough review of
state-of-the-art multiobjective optimization techniques. For
readers who may not be familiar with the bioscience behind the
jumping gene, it then outlines the basic biological gene
transposition process and explains the translation of the
copy-and-paste and cut-and-paste operations into a computable
language. To justify the scientific standing of the jumping genes
algorithms, the book provides rigorous mathematical derivations of
the jumping genes operations based on schema theory. It also
discusses a number of convergence and diversity performance metrics
for measuring the usefulness of the algorithms. Practical
Applications of Jumping Gene Algorithms Three practical engineering
applications showcase the effectiveness of the jumping gene
algorithms in terms of the crucial trade-off between convergence
and diversity. The examples deal with the placement of
radio-to-fiber repeaters in wireless local-loop systems, the
management of resources in WCDMA systems, and the placement of base
stations in wireless local-area networks. Offering insight into
multiobjective optimization, the authors show how jumping gene
algorithms are a useful addition to existing evolutionary
algorithms, particularly to obtain quick convergence solutions and
solutions to outliers.
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