A survey on river water quality modelling using artificial intelligence models: 2000–2020
There has been an unsettling rise in the river contamination due to the climate change and
anthropogenic activities. Last decades' research has immensely focussed on river basin …
anthropogenic activities. Last decades' research has immensely focussed on river basin …
Explainable artificial intelligence by genetic programming: A survey
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 …
to its importance in critical application domains, such as self-driving cars, law, and …
The surprising creativity of digital evolution: A collection of anecdotes from the evolutionary computation and artificial life research communities
Evolution provides a creative fount of complex and subtle adaptations that often surprise the
scientists who discover them. However, the creativity of evolution is not limited to the natural …
scientists who discover them. However, the creativity of evolution is not limited to the natural …
Is the cure worse than the disease? overfitting in automated program repair
Automated program repair has shown promise for reducing the significant manual effort
debugging requires. This paper addresses a deficit of earlier evaluations of automated …
debugging requires. This paper addresses a deficit of earlier evaluations of automated …
Whole test suite generation
Not all bugs lead to program crashes, and not always is there a formal specification to check
the correctness of a software test's outcome. A common scenario in software testing is …
the correctness of a software test's outcome. A common scenario in software testing is …
Genetic programming needs better benchmarks
Genetic programming (GP) is not a field noted for the rigor of its benchmarking. Some of its
benchmark problems are popular purely through historical contingency, and they can be …
benchmark problems are popular purely through historical contingency, and they can be …
Cartesian genetic programming: its status and future
JF Miller - Genetic Programming and Evolvable Machines, 2020 - Springer
Cartesian genetic programming, a well-established method of genetic programming, is
approximately 20 years old. It represents solutions to computational problems as graphs. Its …
approximately 20 years old. It represents solutions to computational problems as graphs. Its …
Balancing privacy and utility in cross-company defect prediction
Background: Cross-company defect prediction (CCDP) is a field of study where an
organization lacking enough local data can use data from other organizations for building …
organization lacking enough local data can use data from other organizations for building …
Evolutionary generation of whole test suites
Recent advances in software testing allow automatic derivation of tests that reach almost
any desired point in the source code. There is, however, a fundamental problem with the …
any desired point in the source code. There is, however, a fundamental problem with the …
Measuring bloat, overfitting and functional complexity in genetic programming
Recent contributions clearly show that eliminating bloat in a genetic programming system
does not necessarily eliminate overfitting and vice-versa. This fact seems to contradict a …
does not necessarily eliminate overfitting and vice-versa. This fact seems to contradict a …