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 (CalEB) 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.
- 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
- stochastic processes