Directed intervention crossover applied to bio-control scheduling

Paul M. Godley*, David E. Cairns, Julie Cowie

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)


This paper describes two directed intervention crossover approaches that are applied to a bio-control dynamic system. Unlike traditional uniform crossover, both the Calculated Expanding Bin (CaIEB) method and Targeted Intervention with Stochastic Selection (TInSSel) approach actively choose an intervention level and spread based on the fitness of the parents selected for crossover. Results indicate that these approaches lead to significant improvements over Uniform Crossover (UC) when a penalty is introduced for each intervention point used by the crossover algorithm.

Original languageEnglish
Title of host publication2007 IEEE Congress on Evolutionary Computation
Number of pages8
ISBN (Print)1424413400, 9781424413409
Publication statusPublished - 7 Jan 2008


  • bio-control dynamic system;bio-control scheduling;calculated expanding bin;directed intervention crossover;stochastic selection;targeted intervention;uniform crossover;biocontrol;scheduling;stochastic processes;
  • evolutionary computation
  • Bio-Control
  • Scheduling
  • stochastic processes

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Theoretical Computer Science


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