Article navigation

This paper provides an introduction to genetic algorithms, a new approach to the investigation of computationally‐intensive problems that may be insoluble using conventional, deterministic approaches. A genetic algorithm takes an initial set of possible starting solutions and then iteratively improves these solutions using operators that are analogous to those involved in Darwinian evolution. The approach is illustrated by reference to several problems in information retrieval.

This content is only available via PDF.
You do not currently have access to this content.
Don't already have an account? Register

Purchased this content as a guest? Enter your email address to restore access.

Pay-Per-View Access
$41.00
Rental

or Create an Account

Close subscription notice
Close access options