Application and evaluation of Genetic Programming for aimpoint selection

Carey Schwartz, Charles Keyes, Erik Vanbronkhorst

Research output: Contribution to journalArticlepeer-review


We have applied Genetic Programming techniques to the determination of ship aimpoints from an input vector. The problem we have studied reduces to mapping a multidimensional input vector to a single real output describing one coordinate of the aimpoint. The multidimensional input vector is obtained by segmenting an image of the ship and performing spatial averages. We have found that Genetic Programming techniques can be used to provide a solution to the problem which maps the inputs to the outputs within the quantization level of the problem. For purposes of comparison we have developed artificial neural network and classifier solutions to the same problem based upon C4.5.

Original languageEnglish (US)
Pages (from-to)403-410
Number of pages8
JournalIntelligent Engineering Systems Through Artificial Neural Networks
StatePublished - Dec 1 1996

All Science Journal Classification (ASJC) codes

  • Software


Dive into the research topics of 'Application and evaluation of Genetic Programming for aimpoint selection'. Together they form a unique fingerprint.

Cite this