Theory of Evolutionary Computation: Recent Developments in Discrete Optimization - Softcover

Softcover

ISBN 10: 3030294153 ISBN 13: 9783030294151

Publisher: Springer, 2019

Synopsis

Probabilistic Tools for the Analysis of Randomized Optimization Heuristics.- Drift Analysis.- Complexity Theory for Discrete Black-Box Optimization Heuristics.- Parameterized Complexity Analysis of Randomized Search Heuristics.- Analysing Stochastic Search Heuristics Operating on a Fixed Budget.- Theory of Parameter Control for Discrete Black-Box Optimization: Provable Performance Gains Through Dynamic Parameter Choices.- Analysis of Evolutionary Algorithms in Dynamic and Stochastic Environments.- The Benefits of Population Diversity in Evolutionary Algorithms: A Survey of Rigorous Runtime Analyses.- Theory of Estimation-of-Distribution Algorithms.- Theoretical Foundations of Immune-Inspired Randomized Search Heuristics for Optimization.- Computational Complexity Analysis of Genetic Programming.

Edition details

• Publisher: Springer
• Publication date: 2019
• Language: English
• ISBN 10: 3030294153
• ISBN 13: 9783030294151
• Binding: Paperback