Explainable artificial intelligence (XAI) has received great interest in the recent decade, due
to its importance in critical application domains, such as self-driving cars, law, and …

Bloat is an excess of code growth without a corresponding improvement in fitness. This is a
serious problem in Genetic Programming, often leading to the stagnation of the evolutionary …

In classification, feature selection is an important data pre-processing technique, but it is a
difficult problem due mainly to the large search space. Particle swarm optimisation (PSO) is …

Problems with multiple objectives arise in a natural fashion in most disciplines and their
solution has been a challenge to researchers for a long time. Despite the considerable …

The latest book on Genetic Programming, Poli, Langdon and McPhee's (with contributions
from John R. Koza) A Field Guide to Genetic Programming represents an exciting landmark …

MATLAB toolbox for performing symbolic regression by genetic programming (GP) is
introduced. GPTIPS is specifically designed to evolve mathematical models of predictor …

Recently, the low-cost Microsoft Kinect sensor, which can capture real-time high-resolution
RGB and depth visual information, has attracted increasing attentions for a wide range of …

Feature extraction is the first and most critical step in image classification. Most existing
image classification methods use hand-crafted features, which are not adaptive for different …

Extracting discriminative and robust features from video sequences is the first and most
critical step in human action recognition. In this paper, instead of using handcrafted features …

This paper presents GPLAB, a genetic programming toolbox for MATLAB. Besides most of
the features traditionally used in genetic programming, it also implements two techniques …