Simulated Annealing - Single and Multiple Objective Problems

Edited by Marcos S.G. Tsuzuki

in Books from IntechOpen

Abstract: This book presents state of the art contributes to Simulated Annealing (SA) that is a well-known probabilistic meta-heuristic. It is used to solve discrete and continuous optimization problems. The significant advantage of SA over other solution methods has made it a practical solution method for solving complex optimization problems. Book is consisted of 13 chapters, classified in single and multiple objectives applications and it provides the reader with the knowledge of SA and several applications. We encourage readers to explore SA in their work, mainly because it is simple and can determine extremely very good results.

JEL-codes: C60 (search for similar items in EconPapers)
Date: 2012
ISBN: 978-953-51-0767-5
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.intechopen.com/books/2478 (text/html)
Book downloadable chapter-by-chapter

Chapters in this book:

A Simulated Annealing Based Approach to Integrated Circuit Layout Design

Yiqiang Aaron Sheng and Atsushi Takahashi

Application of Simulated Annealing in Water Resources Management: Optimal Solution of Groundwater Contamination Source Characterization Problem and Monitoring Network Design Problems

Bithin Datta and Manish Jha

Design and Identification Problems of Rotor Bearing Systems Using the Simulated Annealing Algorithm

Fran Sergio Lobato, Elaine Gomes De Assis, Valder Steffen and Antônio Jose Da Silva Neto

Mean Field Annealing Based Techniques for Resolving VLSI Automatic Design Problems

Gholamreza Karimi and Ahmad Azizi Verki

Optimal Sizing of Harmonic Filters in Electrical Systems: Application of a Double Simulated Annealing Process

Patrick Guerin and Laurence Miegeville

Optimum Functionally Gradient Materials for Dental Implant Using Simulated Annealing

Ardeshir Bahreininejad and Ali Sadollah

Simulated Annealing and Multiuser Scheduling in Mobile Communication Networks

Raymond Kwan, Mehmet Emin Aydin and Cyril Leung

Simulated Annealing for Fast Motion Estimation Algorithm in H.264/AVC

Zhiru Shi, Anil Fernando and Ahmet Kondoz

Simulated Annealing in Research and Applications

Ivan Zelinka

Simulated Annealing to Improve Analog Integrated Circuit Design: Trade-Offs and Implementation Issues

Alessandro Girardi, Lucas Compassi Severo, Alessandro Oliveira, Fabio Kepler and Marcia Cera

Simulated Quenching Algorithm for Frequency Planning in Cellular Systems

Luis M. San Jose-Revuelta

Simulated Quenching for Cancellation of Non-Linear Multi-Antennas Coupling

Igor Arambasic

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ito:pbooks:2478

DOI: 10.5772/2565

Access Statistics for this book

More books in Books from IntechOpen
Bibliographic data for series maintained by Slobodan Momcilovic ().