Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
|Title||IEEE Congress on Evolutionary Computation, 2007. CEC 2007.|
|Place of publication||New York|
|Publisher||IEEE Computer Society|
|Number of pages||8|
|Conference||IEEE Congress on Evolutionary Computation|
|Period||25/09/07 → 28/09/07|
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.