General-Purpose Optimization Through Information Maximization

Front Matter ....Pages i-xviii
 Introduction  (Alan J. Lockett)....Pages 1-16
 Review of Optimization Methods  (Alan J. Lockett)....Pages 17-41
 Optimization in Finite Spaces  (Alan J. Lockett)....Pages 43-65
 Stochastic Generators  (Alan J. Lockett)....Pages 67-89
 Search and Optimization in Topological Spaces  (Alan J. Lockett)....Pages 91-116
 Algebras of Search Generators  (Alan J. Lockett)....Pages 117-145
 Constructing Search Generators for Population-Based Optimizers  (Alan J. Lockett)....Pages 147-180
 Continuity of Search Generators  (Alan J. Lockett)....Pages 181-214
 Generating the Optimization Process  (Alan J. Lockett)....Pages 215-237
 Performance Analysis  (Alan J. Lockett)....Pages 239-262
 Performance Experiments  (Alan J. Lockett)....Pages 263-286
 No Free Lunch Theorems  (Alan J. Lockett)....Pages 287-322
 The Information Maximization Principle  (Alan J. Lockett)....Pages 323-351
 The Evolutionary Annealing Method  (Alan J. Lockett)....Pages 353-382
 Evolutionary Annealing in Euclidean Space  (Alan J. Lockett)....Pages 383-404
 Neuroannealing  (Alan J. Lockett)....Pages 405-432
 The Optimization Game  (Alan J. Lockett)....Pages 433-466
 Conclusion  (Alan J. Lockett)....Pages 467-485
Back Matter ....Pages 487-561