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AI Programmer: Autonomously Creating Software Programs Using Genetic Algorithms
In this paper, we present the first-of-its-kind machine learning (ML) system, called AI Programmer, that can automatically generate full software programs requiring only minimal human guidance.
EC-KitY: Evolutionary Computation Tool Kit in Python with Seamless Machine Learning Integration
EC-KitY is a comprehensive Python library for doing evolutionary computation (EC), licensed under the BSD 3-Clause License, and compatible with scikit-learn.
Evaluating Search-Based Software Microbenchmark Prioritization
However, a simple greedy technique utilizing solely the performance change history (without coverage information) is equally or more effective than the best coverage-based techniques while being considerably more efficient, with a runtime overhead of less than 1%.
Software Engineering
Improving the Detection of Burnt Areas in Remote Sensing using Hyper-features Evolved by M3GP
One problem found when working with satellite images is the radiometric variations across the image and different images.
A Java Implementation of Parameter-less Evolutionary Algorithms
The Parameter-less Genetic Algorithm was first presented by Harik and Lobo in 1999 as an alternative to the usual trial-and-error method of finding, for each given problem, an acceptable set-up of the parameter values of the genetic algorithm.
Genetic Programming is Naturally Suited to Evolve Bagging Ensembles
Experimental comparisons on classification and regression tasks taken and reproduced from prior studies show that our algorithm fares very well against state-of-the-art ensemble and non-ensemble GP algorithms.
Multiobjective Programming for Type-2 Hierarchical Fuzzy Inference Trees
Hence, the proposed HFIT is an efficient and competitive alternative to the other FISs for function approximation and feature selection.
Ensemble of heterogeneous flexible neural trees using multiobjective genetic programming
Machine learning algorithms are inherently multiobjective in nature, where approximation error minimization and model's complexity simplification are two conflicting objectives.
Layered TPOT: Speeding up Tree-based Pipeline Optimization
With the demand for machine learning increasing, so does the demand for tools which make it easier to use.
Efficient Modelling of Ion Structure and Dynamics in Inorganic Metal Halide Perovskites
Our molecular dynamics simulations make it possible to predict the compositional dependence of the ionic diffusion coefficient on bromide/iodide ratio and vacancy concentration.
Materials Science
