Genetic Algorithm (GA)

J. H. Holland described how to apply the principles of natural selection to optimization problems and built the first genetic algorithms (GAs). The power of mathematics lies in the technology transfer: there exist certain models and methods, which describe many different phenomena and solve a wide v...

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Bibliographic Details
Published inA Primer on Machine Learning Applications in Civil Engineering pp. 101 - 132
Main Author Deka, Paresh Chra
Format Book Chapter
LanguageEnglish
Published United Kingdom CRC Press 2020
Taylor & Francis
Taylor & Francis Group
Edition1
Subjects
Civil Engineering & Construction Materials
General Engineering & Project Administration
General References
Genetic Operations
GP System
Executional Steps
Fitness Measure
Vice Versa
Hybrid GA
Genetic Operators
SVM Model
Bandit Problem
Crossover Probability
Crossover Mask
GA
Phenotypic Representation
Crossover Operation
RBF Kernel
Schema Theorem
Fitness Function
Hybrid Neuro Fuzzy System
GP
Single Point Crossover
Preparatory Steps
Parallel GA
Permutation Encoding
Mutation Probability
Real Code GA
Online AccessGet full text
ISBN9781138323391
113832339X
DOI10.1201/9780429451423-5

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Table of Contents:
  • 5.1 Introduction 5.2 Classification of GA 5.3 Genetic Programming Bibliography