---
title: "Evolutionary Learning Strategy using Bug-Based Search"
authors:
  - "Hitoshi Iba"
  - "Tetsuya Higuchi"
  - "Hugo de Garis"
  - "Taisuke Sato"
doi: ""
url: "https://ijcai.org/proceedings/1993/132"
pdf: "https://ijcai.org/proceedings/1993/0132.pdf"
venue: "Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence"
year: 1993
pages: "960-965"
track: "Machine Learning"
keywords:
---

# Evolutionary Learning Strategy using Bug-Based Search

Hitoshi Iba, Tetsuya Higuchi, Hugo de Garis, Taisuke Sato

*Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence*, pages 960-965.

## Abstract

We introduce a new approach to GA (Genetic Algorithms) based problem solving. Earlier GAs did not contain local search (i.e. hill climbing) mechanisms, which led to optimization difficulties, especially in higher dimensions. To overcome such difficulties, we introduce a "bug-based" search strategy, and implement a system called BUGS2. The ideas behind this new approach are derived from biologically realistic bug behaviors. These ideas were confirmed empirically by applying them to some optimization and computer vision problems.