Maximising the Efficiency of Bio-control Applications Utilising Genetic Algorithms

Citation

Godley PM, Cairns D & Cowie J (2007) Maximising the Efficiency of Bio-control Applications Utilising Genetic Algorithms. In: Parker C, Skerrat S, Park C & Shields J (eds.) Proceedings of the 6th Biennial Conference of European Federation of IT in Agriculture (EFITA). 6th Biennial Conference of the European Federation of IT in Agriculture (EFITA/WCCA' 07), 2007, Glasgow, 02.07.2007-05.07.2007, pp. 638-645.

Abstract
In the domain of mushroom farming, sciarid flies can adversely affect the quality of crop produced. One solution to this problem is the use of a bio-control agent to reduce, and ideally eliminate the presence of this pest. The nematode worm Steinernema feltiae provides an effective control agent against the sciarid flies. In order to maximise the effect of this agent, while also minimising the quantity of the agent required, an optimal application schedule is necessary. Our work addresses the use of Genetic Algorithms (GAs) to produce optimal bio-control application schedules.

Keywords
Bio-Control; Genetic Algorithms; Scheduling

People

Dr David Cairns

Lecturer, Computing Science