Graphics processing units and genetic programming: an overview
WB Langdon - Soft computing, 2011 - Springer
A top end graphics card (GPU) plus a suitable SIMD interpreter can deliver a several
hundred fold speed up, yet cost less than the computer holding it. We give highlights of AI …
hundred fold speed up, yet cost less than the computer holding it. We give highlights of AI …
A domain-independent window approach to multiclass object detection using genetic programming
This paper describes a domain-independent approach to the use of genetic programming
for object detection problems in which the locations of small objects of multiple classes in …
for object detection problems in which the locations of small objects of multiple classes in …
GP on SPMD parallel graphics hardware for mega bioinformatics data mining
WB Langdon, AP Harrison - Soft Computing, 2008 - Springer
We demonstrate a SIMD C++ genetic programming system on a single 128 node parallel
nVidia GeForce 8800 GTX GPU under RapidMind's GPGPU Linux software by predicting ten …
nVidia GeForce 8800 GTX GPU under RapidMind's GPGPU Linux software by predicting ten …
A new crossover operator in genetic programming for object classification
The crossover operator has been considered ldquothe centre of the stormrdquo in genetic
programming (GP). However, many existing GP approaches to object recognition suggest …
programming (GP). However, many existing GP approaches to object recognition suggest …
Parallel multi-objective multi-robot coalition formation
In the quest for greater autonomy, there is an increasing need for solutions that would
enable a large set of robots to coalesce and perform complicated multi-robot tasks. This …
enable a large set of robots to coalesce and perform complicated multi-robot tasks. This …
Large-scale bioinformatics data mining with parallel genetic programming on graphics processing units
WB Langdon - Massively parallel evolutionary computation on …, 2013 - Springer
Abstract The NCBI GEO GSE3494 breast cancer dataset contains hundreds of Affymetrix HG-
U133A and HG-U133B GeneChip biopsies each with a million variables. Multiple genetic …
U133A and HG-U133B GeneChip biopsies each with a million variables. Multiple genetic …
Pixel statistics and false alarm area in genetic programming for object detection
This paper describes a domain independent approach to the use of genetic programming for
object detection problems. Rather than using raw pixels or high level domain specific …
object detection problems. Rather than using raw pixels or high level domain specific …
Linear genetic programming GPGPU on Microsoft's Xbox 360
We describe how to harness the graphics processing abilities of a consumer video game
console (Xbox 360) for general programming on graphics processing unit (GPGPU) …
console (Xbox 360) for general programming on graphics processing unit (GPGPU) …
Genetic programming for object detection: A two-phase approach with an improved fitness function
This paper describes two innovations that improve the efficiency and effectiveness of a
genetic programming approach to object detection problems. The approach uses genetic …
genetic programming approach to object detection problems. The approach uses genetic …
[PDF][PDF] Genetic Programming for Object Detection: Improving Fitness Functions and Optimising Training Data.
M Zhang, M Lett - IEEE Intell. Informatics Bull., 2006 - comp.hkbu.edu.hk
This paper describes an approach to the improve-ment of a fitness function and the
optimisation of training data in genetic programming (GP) for object detection particularly …
optimisation of training data in genetic programming (GP) for object detection particularly …