"Simulated Annealing: Single and Multiple Objective Problems" ed. by Marcos de Sales Guerra Tsuzuki

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.

Contents
Preface
Section 1 Single Objective
1 Mean Field Annealing Based Techniques for Resolving VLSI Automatic Design Problems
2 Optimal Sizing of Harmonic Filters in Electrical Systems: Application of a Double Simulated Annealing Process
3 Simulated Quenching Algorithm for Frequency Planning in Cellular Systems
4 Simulated Annealing in Research and Applications
5 Optimization Design of Nonlinear Optical Frequency Conversion Devices Using Simulated Annealing Algorithm
6 Simulated Annealing and Multiuser Scheduling in Mobile Communication Networks
7 Simulated Quenching for Cancellation of Non-Linear Multi-Antennas Coupling
8 Application of Simulated Annealing inWater Resources Management: Optimal Solution of Groundwater Contamination Source Characterization Problem and Monitoring Network Design Problems
9 Simulated Annealing for Fast Motion Estimation Algorithm in H.264/AVC
Section 2 Multiple Objectives
10 Design and Identification Problems of Rotor Bearing Systems Using the Simulated Annealing Algorithm
11 Optimum Functionally Gradient Materials for Dental Implant Using Simulated Annealing
12 A Simulated Annealing Based Approach to Integrated Circuit Layout Design
13 Simulated Annealing to Improve Analog Integrated Circuit Design: Trade-Offs and Implementation Issues