Genetic algorithms, computer programs that simulate natural evolution, are increasingly
applied across many disciplines. They have been used to solve various optimisation …

The growth of data and categories of attacks, demand the use of Intrusion Detection System
(IDS) effectively using Machine Learning (ML) and Deep Learning (DL) techniques. Apart …

A bstract Achieving full moduli stabilisation in type IIB string compactifications for generic
Calabi-Yau threefolds with hundreds of Kähler moduli is notoriously hard. This is due not …

As the number of practical applications of discrete black-box metaheuristics is growing faster
and faster, the benchmarking of these algorithms is rapidly gaining importance. While new …

Many factors influence the evolvability of populations, and this article illustrates how intrinsic
mortality (death induced through internal factors) in an evolving population contributes …

Finding the optimum parameters of the Marx generator during the power transformers factory
test to attain a standard lightning impulse (LI) wave shape is usually done by a try and error …

The computer-aided methods are certainly essential to perform clinical practices. The
predictive analysis of disease scope from inputs recommended by the experts is one crucial …

Cooling load is the main cause of high energy consumption for tall buildings in tropical
climates while the construction of tall buildings1 is an unavoidable practice due to land …

Identifying and Exploiting Structure in Cosmological and String Theoretic Data by Alexander
Cole A dissertation presented in par Page 1 Identifying and Exploiting Structure in Cosmological …

Many situations in daily life represent complex combinatorial optimisation problems. These
include issues such as efficient fuel consumption, nurse scheduling, or distribution of …