Abstract “Dimensionality” is one of the major problems which affect the quality of learning
process in most of the machine learning and data mining tasks. Having high dimensional …

This research presents a soft computing methodology for groutability estimation of grouting
processes that employ cement grouts. The method integrates a hybrid metaheuristic and the …

Differential Evolution is an efficient metaheuristic for continuous optimization that suffers
from the curse of dimensionality. A large amount of experimentation has allowed …

Most recombination operators are designed with the aim of altering its exploration
capabilities depending on the distance between the parents involved in the process …

In this study, nature inspired algorithms–the Differential Evolution (DE) and the Simulated
Annealing (SA)–are utilized to seek a global optimum solution for ball bearings link system …

In this paper, we present an empirical study on convergence nature of Differential Evolution
(DE) variants to solve unconstrained global optimization problems. The aim is to identify the …

Differential evolution (de) is a popular population-based meta-heuristic that has been
successfully used in complex optimization problems. Premature convergence is one of the …

Investment instruments for structured investments include mutual funds, and the net asset
value (NAV) is used to calculate their value. Due to uncertainty and influences from …

Mutual funds remain the most favoured investment instrument in the extensive domain of
finance due to healthy and blooming returns in its asset group. In order to take investment …

To cope with common local optimum traps and balance exploration and development in
complex multi-peak optimisation problems, this paper puts forth a Dual-Performance Multi …