An introduction to evolutionary computation and evolutionary algorithms

被引：15

作者：

Cartwright, HM ^{[1
]}

机构：

[1] Univ Oxford, Phys & Theoret Chem Lab, Oxford OX1 3QZ, England

来源：

APPLICATIONS OF EVOLUTIONARY COMPUTATION IN CHEMISTRY | 2004年 / 110卷

关键词：

genetic algorithm; genetic programming; evolutionary algorithm; evolution strategies; optimisation;

D O I：

10.1007/b13931

中图分类号：

O61 [无机化学];

学科分类号：

070301 ; 081704 ;

摘要：

Numerous techniques exist in science for tackling large-scale optimisation problems. In many instances, scientists must identify the best solution from within a pool containing millions of possible solutions. Evolutionary algorithms are particularly adept at handling this sort of optimisation and their advantages often become more marked as the size of the search space grows. This chapter introduces evolutionary methods, and outlines some of the principles of genetic algorithms, genetic programming and evolution strategies.

引用

页码：1 / 32

页数：32