Bioinspired computation in combinatorial optimization : algorithms and their computational complexity

Resource Information

The work Bioinspired computation in combinatorial optimization : algorithms and their computational complexity represents a distinct intellectual or artistic creation found in University of Missouri Libraries. This resource is a combination of several types including: Work, Language Material, Books.

Label

Bioinspired computation in combinatorial optimization : algorithms and their computational complexity

Title remainder

algorithms and their computational complexity

Statement of responsibility

Frank Neumann, Carsten Witt

Creator

• Neumann, Frank, (Computer scientist)

Contributor

• Witt, Carsten

Subject

• Combinatorial optimization
• Combinatorial optimization
• Informatique
• Natural computation
• Natural computation
• Natural computation
• Combinatorial optimization

Language

eng

Summary

Bioinspired computation methods, such as evolutionary algorithms and ant colony optimization, are being applied successfully to complex engineering and combinatorial optimization problems, and it is very important that we understand the computational complexity of these search heuristics. This is the first book to explain the most important results achieved in this area. The authors show how runtime behavior can be analyzed in a rigorous way. in particular for combinatorial optimization. They present well-known problems such as minimum spanning trees, shortest paths, maximum matching, and covering and scheduling problems. Classical single-objective optimization is examined first. They then investigate the computational complexity of bioinspired computation applied to multiobjective variants of the considered combinatorial optimization problems, and in particular they show how multiobjective optimization can help to speed up bioinspired computation for single-objective optimization problems. This book will be valuable for graduate and advanced undergraduate courses on bioinspired computation, as it offers clear assessments of the benefits and drawbacks of various methods. It offers a self-contained presentation, theoretical foundations of the techniques, a unified framework for analysis, and explanations of common proof techniques, so it can also be used as a reference for researchers in the areas of natural computing, optimization and computational complexity

Member of

• Natural computing series

Cataloging source

GW5XE

Dewey number

519.6/4

Index

no index present

Language note

English

LC call number

QA402.5

LC item number

.N48 2010

Literary form

non fiction

Nature of contents

• dictionaries
• bibliography

Series statement

Natural computing series