Symbolic Regression is a powerful data-driven technique that searches fo...
The scores of distance-based outlier detection methods are difficult to
...
Vectorial Genetic Programming (Vec-GP) extends GP by allowing vectors as...
OutlierDetection.jl is an open-source ecosystem for outlier detection in...
Bayesian global optimization (BGO) is an efficient surrogate-assisted
te...
Particle-based modeling of materials at atomic scale plays an important ...
This work provides the exact expression of the probability distribution ...
In this chapter we take a closer look at the distribution of symbolic
re...
Symbolic regression is a powerful system identification technique in
ind...
Multi-objective symbolic regression has the advantage that while the acc...
This paper describes a methodology for analyzing the evolutionary dynami...
The current development of today's production industry towards seamless
...
We introduce in this paper a runtime-efficient tree hashing algorithm fo...
Real-world project scheduling often requires flexibility in terms of the...
Diversity represents an important aspect of genetic programming, being
d...
In this paper a data mining approach for variable selection and knowledg...
Genetic programming is a powerful heuristic search technique that is use...
Macro-economic models describe the dynamics of economic quantities. The
...