Foundations of Genetic Algorithms

9th International Workshop, FOGA 2007, Mexico City, Mexico, January 8-11, 2007, Revised Selected Papers

Christopher R. Stephens, Marc Toussaint, Darrell Whitley, Peter F. Stadler (Herausgeber)

Buch | Softcover

X, 216 Seiten

2007 | 2007
Springer Berlin (Verlag)
978-3-540-73479-6 (ISBN)

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lt;p>Readers will find here a fascinating text that is the thoroughly refereed post-proceedings of the 9th Workshop on the Foundations of Genetic Algorithms, FOGA 2007, held in Mexico City in January 2007. The 11 revised full papers presented were carefully reviewed and selected during two rounds of reviewing and improvement from 22 submissions. The papers address all current topics in the field of theoretical evolutionary computation and also depict the continuing growth in interactions with other fields such as mathematics, physics, and biology

Inbreeding Properties of Geometric Crossover and Non-geometric Recombinations.- Just What Are Building Blocks?.- Sufficient Conditions for Coarse-Graining Evolutionary Dynamics.- On the Brittleness of Evolutionary Algorithms.- Mutative Self-adaptation on the Sharp and Parabolic Ridge.- Genericity of the Fixed Point Set for the Infinite Population Genetic Algorithm.- Neighborhood Graphs and Symmetric Genetic Operators.- Decomposition of Fitness Functions in Random Heuristic Search.- On the Effects of Bit-Wise Neutrality on Fitness Distance Correlation, Phenotypic Mutation Rates and Problem Hardness.- Continuous Optimisation Theory Made Easy? Finite-Element Models of Evolutionary Strategies, Genetic Algorithms and Particle Swarm Optimizers.- Saddles and Barrier in Landscapes of Generalized Search Operators.

Erscheint lt. Verlag	29.6.2007
Reihe/Serie	Lecture Notes in Computer Science
Reihe/Serie	Theoretical Computer Science and General Issues
Zusatzinfo	X, 216 p.
Verlagsort	Berlin
Sprache	englisch
Maße	155 x 235 mm
Gewicht	351 g
Themenwelt	Informatik ► Software Entwicklung ► User Interfaces (HCI)
Themenwelt	Mathematik / Informatik ► Informatik ► Theorie / Studium
Schlagworte	Adaptive Systems • algorithm • Algorithm analysis and problem complexity • Algorithmic Learning • algorithms • Biology • Classifier SYstems • connectedness • Evolution • evolutionary algorithms • Evolutionary Programming • evolutionary research • Evolution Strategies • generalized topology • Genetic algorithms • genetic programming • heuristic search methods • machine learning • Multi-Objective Optimization • Perturbation Methods • programming • recombination
ISBN-10	3-540-73479-1 / 3540734791
ISBN-13	978-3-540-73479-6 / 9783540734796
Zustand	Neuware