---
title: "Genetic Heuristic for Search Space Exploration"
authors:
  - "Manuel Clergue"
  - "Philippe Collard"
doi: ""
url: "https://ijcai.org/proceedings/1999/173"
pdf: "https://ijcai.org/proceedings/1999/0173.pdf"
venue: "Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence"
year: 1999
pages: "1218-1225"
track: "Search"
keywords:
---

# Genetic Heuristic for Search Space Exploration

Manuel Clergue, Philippe Collard

*Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence*, pages 1218-1225.

## Abstract

This paper deals with the way dual genetic algorithms (DGA), an extension of the standard ones, explore the search space. After a brief introduction presenting genetic algorithms and dualism, th e fitness distance correlation is discussed in the context of dualism. From this discussion , a conjecture is mad e about the gen et ic heuri st ic used by dual genetic algorithms to explore the search space. This conjecture is reinforced by the visualization of the population centroid traje ct ories in the plane fitness distance. Th ese trajectories help to point out "leg-up" behaviors, which allow the dual gen et ic algorithm to reach the global optimum from walks on deceptive p aths .