Search-based Evolutionary Operators for Extensionally-defined Search Spaces: Applications to Image Search

Johnson, Colin G. (2012) Search-based Evolutionary Operators for Extensionally-defined Search Spaces: Applications to Image Search. In: Proceedings of the 2012 IEEE World Congress on Computational Intelligence. (The full text of this publication is not available from this repository)

The full text of this publication is not available from this repository. (Contact us about this Publication)
Official URL
http://www.cs.kent.ac.uk/pubs/2012/3224

Abstract

This paper explores the idea of applying evolutionary algorithms to those search spaces that are defined extensionally, i.e. by listing every item in the space. When these spaces are with a function that returns similar elements given a key element, analogies of mutation and crossover can be defined. This idea is discussed in general, and specific examples are given where the search is for images, in particular where image search is carried out using an interactive genetic algorithm.

Item Type: Conference or workshop item (UNSPECIFIED)
Uncontrolled keywords: Genetic algorithms, Evolutionary computation, Images, Web services
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Science Technology and Medical Studies > School of Computing > Computational Intelligence Group
Depositing User: Colin Johnson
Date Deposited: 21 Sep 2012 09:49
Last Modified: 21 Sep 2012 09:49
Resource URI: http://kar.kent.ac.uk/id/eprint/30811 (The current URI for this page, for reference purposes)
  • Depositors only (login required):