Includes bibliographical references (p. 129-137) and index.
Part I: Overview. Chapter 1: The Place of Simulated Annealing in the Arsenal of Global Optimization -- Chapter 2: Six Simulated Annealing Problems; Chapter 3: Nomenclature -- Chapter 4: Bare Bones Simulated Annealing -- Part II: Facts. Chapter 5: Equilibrium Statistical Mechanics -- Chapter 6: Relaxation Dynamics-Finite Markov Chains -- Part III: Improvements and Conjectures. Chapter 7: Ensembles -- Chapter 8: The Brick Wall Effect and Optimal Ensemble Size -- Chapter 9: The Objective Function -- Chapter 10: Move Classes and Their Implementations -- Chapter 11: Acceptance Rules -- Chapter 12: Thermodynamic Portraits -- Chapter 13: Selecting the Schedule -- Chapter 14: Estimating the Global Minimum Energy -- Part IV: Towards Structure Theory and Real Understanding. Chapter 15: Structure Theory of Complex Systems -- Chapter 16: What Makes Annealing Tick? -- Part V: Resources. Chapter 17: Supplementary Materials.
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An introduction to simulated annealing. This book brings together for the first time many of the theoretical foundations for improvements to algorithms for global optimization that until now existed only in scattered research articles.