The use of artificial immune systems in intrusion detection is an appealing concept for two
reasons. Firstly, the human immune system provides the human body with a high level of …

Examines measures of diversity in genetic programming. The goal is to understand the
importance of such measures and their relationship with fitness. Diversity methods and …

Automatic Quantum Computer Programming provides an introduction to quantum computing
for non-physicists, as well as an introduction to genetic programming for non-computer …

Dynamic environments abound and offer particular challenges for all optimisation and
problem solving methods. A well-known strategy for survival in dynamic environments is to …

The convergence and divergence are two common phenomena in swarm intelligence. To
obtain good search results, the algorithm should have a balance on convergence and …

This chapter aims to address some of the fundamental issues that are often encountered in
optimization problems, making them difficult to solve. These issues include premature …

The set covering problem (SCP) is a well known NP-hard problem with many practical
applications. In this research, a new approach based on ant colony optimization (ACO) is …

This paper investigates the capabilities of the Ant Colony Optimization (ACO) meta-heuristic
for solving the maximum clique problem, the goal of which is to find a largest set of pairwise …

This paper reports an improvement to genetic programming (GP) search for the symbolic
regression domain, based on an analysis of dissimilarity and mating. GP search is generally …

In the field of Genetic Programming (GP), there has been a growing interest in the effects of
loss of genetic diversity, which causes the whole population prematurely converge to local …