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Evolutionary Algorithms
Edited by Eisuke Kita, ISBN 978-953-307-171-8, Hard cover, 584 pages, Publisher: InTech, Published: April 26, 2011 under CC BY-NC-SA 3.0 license, in subject Numerical Analysis and Scientific Computing
DOI: 10.5772/627
Evolutionary algorithms are successively applied to wide optimization problems in the engineering, marketing, operations research, and social science, such as include scheduling, genetics, material selection, structural design and so on. Apart from mathematical optimization problems, evolutionary algorithms have also been used as an experimental framework within biological evolution and natural selection in the field of artificial life.
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Book contents
- Chapter 1Hybridization of Evolutionary Algorithms
- Chapter 2Linear Evolutionary Algorithm
- Chapter 3Genetic Algorithm Based on Schemata Theory
- Chapter 4In Vitro Fertilization Genetic Algorithm
- Chapter 5Bioluminescent Swarm Optimization Algorithm
- Chapter 6A Memetic Particle Swarm Optimization Algorithm for Network Vulnerability Analysis
- Chapter 7Quantum-Inspired Differential Evolutionary Algorithm for Permutative Scheduling Problems
- Chapter 8Quantum-Inspired Particle Swarm Optimization for Feature Selection and Parameter Optimization in Evolving Spiking Neural Networks for Classification Tasks
- Chapter 9Analytical Programming - a Novel Approach for Evolutionary Synthesis of Symbolic Structures
- Chapter 10PPCea: A Domain-Specific Language for Programmable Parameter Control in Evolutionary Algorithms
- Chapter 11Evolution Algorithms in Fuzzy Data Problems
- Chapter 12Variants of Hybrid Genetic Algorithms for Optimizing Likelihood ARMA Model Function and Many of Problems
- Chapter 13Tracing Engineering Evolution with Evolutionary Algorithms
- Chapter 14Evaluating the α-Dominance Operator in Multiobjective Optimization for the Probabilistic Traveling Salesman Problem with Profits
- Chapter 15Scheduling of Construction Projects with a Hybrid Evolutionary Algorithm’s Application
- Chapter 16A Memetic Algorithm for the Car Renter Salesman Problem
- Chapter 17Multi-Objective Scheduling on a Single Machine with Evolutionary Algorithm
- Chapter 18Evolutionary Algorithms in Decomposition-Based Logic Synthesis
- Chapter 19A Memory-Storable Quantum-Inspired Evolutionary Algorithm for Network Coding Resource Minimization
- Chapter 20Using Evolutionary Algorithms for Optimization of Analogue Electronic Filters
- Chapter 21Evolutionary Optimization of Microwave Filters
- Chapter 22Feature Extraction from High-Resolution Remotely Sensed Imagery using Evolutionary Computation
- Chapter 23Evolutionary Feature Subset Selection for Pattern Recognition Applications
- Chapter 24A Spot Modeling Evolutionary Algorithm for Segmenting Microarray Images
- Chapter 25Discretization of a Random Field – a Multiobjective Algorithm Approach
- Chapter 26Evolutionary Algorithms in Modelling of Biosystems
- Chapter 27Stages of Gene Regulatory Network Inference: the Evolutionary Algorithm Role
- Chapter 28Evolutionary Algorithms in Crystal Structure Analysis
- Chapter 29Evolutionary Enhanced Level Set Method for Structural Topology Optimization
