Genetic Programming (GP) is an heuristic method that can be applied to many Machine
Learning, Optimization and Engineering problems. In particular, it has been widely used in …

In Genetic Programming (GP) systems, particularly those that target general program
synthesis problems, it is common to use imperative programming languages to represent …

Since Genetic Programming (GP) has been proposed, several flavors of GP have arisen,
each with their own strengths and limitations. Grammar-Guided and Strongly-Typed GP …

Program synthesis automates the process of writing code, which can be a very useful tool in
allowing people to better leverage computational resources. However, a limiting factor in the …

Abstract Search-Based Software Engineering problems frequently have semantic
constraints that can be used to deterministically restrict what type of programs can be …

Automated test generation helps programmers to test their software with minimal
intervention. Automated test generation tools produce a set of program inputs that maximize …

Software development is an area with continued growth over the years, with more ap
plications being produced every day. As software demand grows, so does the demand for …

Turing apresentou pela primeira vez a evolução de programas através da descrição de
operadores evolutivos bastante básicos, como a mutação, seleção, e material genético …

The Genetic Programming (GP) approaches typically have difficulties dealing with the large
search space as the number of language components grows. The increasing number of …