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 …

steels & belpaeme's (s&b's) simulations contain all the right components, but they are put
together wrongly. color categories are unrepresentative of categories in general and …

This e-book is devoted to global optimization algorithms, which are methods to find optimal
solutions for given problems. It especially focuses on Evolutionary Computation by …

Genetic programming (GP), one of the most advanced forms of evolutionary computation,
has been highly successful as a technique for getting computers to automatically solve …

Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications
discusses algorithmic developments in the context of genetic algorithms (GAs) and genetic …

Most textbooks on modern heuristics provide the reader with detailed descriptions of the
functionality of single examples like genetic algorithms, genetic programming, tabu search …

Abstract This chapter describes Grammatical Evolution (GE) in detail (Ryan et al., 1998;
O'Neill and Ryan, 2001; O'Neill, 2001). We show that it is an evolutionary algorithm (EA) that …

This paper presents a novel approach to generate data-driven regression models that not
only give reliable prediction of the observed data but also have smoother response surfaces …

The graph-based Cartesian genetic programming system has an unusual genotype
representation with a number of advantageous properties. It has a form of redundancy …

Genetic programming has highlighted the problem of bloat, the uncontrolled growth of the
average size of an individual in the population. The most common approach to dealing with …