Heuristic Crossover Operator for Evolutionary Induced Decision Trees

Sašo Karakatič; Vili Podgorelec

Research.Publish.Connect.

*Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search *Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search *Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search *Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

Heuristic Crossover Operator for Evolutionary Induced Decision Trees

Topics: Genetic Algorithms; Machine Learning

In Proceedings of the International Conference on Evolutionary Computation Theory and Applications - Volume 0IJCCI, 289-293, 2014 , Rome, Italy

Authors: Sašo Karakatič and Vili Podgorelec

Affiliation: University of Maribor, Slovenia

Keyword(s): Genetic Algorithm, Decision Tree, Crossover.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Genetic Algorithms ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Soft Computing ; Symbolic Systems

Abstract: In this paper we propose an innovative and improved variation of genetic operator crossover for the classification decision tree models. Our improved crossover operator uses heuristic to choose the tree node that is exchanged to construct the children solutions. The algorithm selects a single node based on the classification accuracy and the usage of that particular node. We evaluate this method by comparing it with the results of the standard crossover method where nodes for exchange are chosen at random.

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 3.133.144.217

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

Paper citation in several formats:

Karakatič, S. and Podgorelec, V. (2014). Heuristic Crossover Operator for Evolutionary Induced Decision Trees. In Proceedings of the International Conference on Evolutionary Computation Theory and Applications (IJCCI 2014) - ECTA; ISBN 978-989-758-052-9, SciTePress, pages 289-293. DOI: 10.5220/0005137102890293

@conference{ecta14,
author={Sašo Karakatič. and Vili Podgorelec.},
title={Heuristic Crossover Operator for Evolutionary Induced Decision Trees},
booktitle={Proceedings of the International Conference on Evolutionary Computation Theory and Applications (IJCCI 2014) - ECTA},
year={2014},
pages={289-293},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005137102890293},
isbn={978-989-758-052-9},
}

TY - CONF

JO - Proceedings of the International Conference on Evolutionary Computation Theory and Applications (IJCCI 2014) - ECTA
TI - Heuristic Crossover Operator for Evolutionary Induced Decision Trees
SN - 978-989-758-052-9
AU - Karakatič, S.
AU - Podgorelec, V.
PY - 2014
SP - 289
EP - 293
DO - 10.5220/0005137102890293
PB - SciTePress