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| Complexity Formalisms, Order and Disorder in the Structure of Art | 3 | |
| Searching Real-Valued Synaptic Weights of Hopfield's Associative Memory Using Evolutionary Programming | 13 | |
| The Application of Evolutionary Computation to Selected Problems in Molecular Biology | 23 | |
| PEPNet: Parallel Evolutionary Programming for Constructing Artificial Neural Networks | 35 | |
| Scaling Behavior of the Evolution Strategy when Evolving Neuronal Control Architectures for Autonomous Agents | 47 | |
| Swarm: An Object Oriented Simulation Plaftorm Applied to Markets and Organizations | 61 | |
| An Agent-Based Computational Model for the Evolution of Trade Networks | 73 | |
| Performance-Enhanced Genetic Programming | 87 | |
| Comparing Subtree Crossover with Macromutation | 101 | |
| Musica ex Machina: Composing 16th-Century Counterpoint with Genetic Programming and Symbiosis | 113 | |
| Design of a High-Gain Operational Amplifier and Other Circuits by Means of Genetic Programming | 125 | |
| Modeling Speculators with Genetic Programming | 137 | |
| Fast Evolution Strategies | 151 | |
| Airspace Congestion Smoothing by Stochastic Optimization | 163 | |
| Evolian: Evolutionary Optimization Based on Lagrangian with Constraint Scaling | 177 | |
| Solving Static and Dynamic Fuzzy Constraint Networks Using Evolutionary Hill-Climbing | 189 | |
| Applying Family Competition to Evolution Strategies for Constrained Optimization | 201 | |
| Multi-operator Evolutionary Programming: A Preliminary Study on Function Optimization | 215 | |
| Supporting Polyploidy in Genetic Algorithms Using Dominance Vectors | 223 | |
| An Individually Variable Mutation-Rate Structure for Genetic Algorithms | 235 | |
| Inductive Learning of Mutation Step-Size in Evolutionary Parameter Optimization | 247 | |
| A Note on the Escape Probabilities for Two Alternative Methods of Selection Under Gaussian Mutation | 265 | |
| Raising Theoretical Questions About the Utility of Genetic Algorithms | 275 | |
| Some Geometric and Algebraic Results on Crossover | 285 | |
| An Analysis of Evolutionary Algorithms Based on Neighborhood and Step Sizes | 297 | |
| Structuring Pattern Generalization Through Evolutionary Techniques | 311 | |
| A Cultural Algorithm Framework to Evolve Multi-Agent Cooperation with Evolutionary Programming | 323 | |
| Tracking Extrema in Dynamic Environments | 335 | |
| The Dynamics of Evolution Strategies in the Optimization of Traveling Salesman Problems | 349 | |
| Exploring Self-Adaptive Methods to Improve the Efficiency of Generating Approximate Solutions to Traveling Salesman Problems Using Evolutionary Programming | 361 | |
| Optimizing Fuel Distribution Through Evolutionary Programming | 373 | |
| Investigating Parallel Genetic Algorithms on Job Shop Scheduling Problems | 383 | |
| Using Evolutionary Programming for Finite Element Problems | 397 | |
| Gaining Insight into Evolutionary Programming Through Landscape Visualization: An Investigation into IIR Filtering | 407 | |
| Evolution of Intelligently Interactive Behaviors for Simulated Forces | 419 | |
| Combining Control Strategies Using Genetic Algorithms with Memory | 431 | |
| Using Cultural Algorithms with Evolutionary Computing to Extract Site Location Decisions from Spatio-Temporal Databases | 443 | |
| Author Index | 457 |
| Price | Condition | Delivery | Seller | Action |
| $99.99 | Digital |
| WonderClub |
Gregory Bounds
reviewed Evolutionary Programming VI on May 31, 2014
Evolutionary Programming VI
I did not feel like this book provided any good information, and it felt padded to boot. In fact, after a while I lost patience and started skimming.
For instance, several pages were wasted on an explanation of an algorithm that could have been given in a single paragraph. Then time was spent on a very awkward proof involving the relationship between sums of SPECIFIC numbers, which one could simply test directly. The author may have made some point about the awkwardness of the proof, but there was no point to this. This was doubly damning because it undermined the author's argument that testing couldn't cover general correctness; so why waste time on a bad proof of a specific case that could be tested directly?
The rest of the book was this awkward. Discussions about comments in steps of proofs were given, yet no significant ties to program development were produced. When the author finally got to Hoare triples, I didn't understand why the previous pages were even written as none of the material could even be seen as a support to this.
The book is very short, even with all the padding; much of the book's length is dedicated to answers to the exercises. This leads me to doubt that there was enough material for a book. Overly long examples, pointless proofs and material that doesn't build up are the mark of a lack of substance. This material probably could have been covered in a single article.
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Add Evolutionary Programming VI, This book constitutes the refereed proceedings of the 6th International Conference on Evolutionary Programming, EP 97, held in Indianapolis, IN, USA, in April 1997. The 36 revised full papers presented were carefully selected for inclusion in the proc, Evolutionary Programming VI to the inventory that you are selling on WonderClubX
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Add Evolutionary Programming VI, This book constitutes the refereed proceedings of the 6th International Conference on Evolutionary Programming, EP 97, held in Indianapolis, IN, USA, in April 1997. The 36 revised full papers presented were carefully selected for inclusion in the proc, Evolutionary Programming VI to your collection on WonderClub |