Multi-modal multi-objective optimization problem (MMOPs) has attracted more and more
attention in evolutionary computing recently. It is not easy to solve these problems using the …

Multimodal biometric systems are highly used over unimodal biometric systems. The
multimodal systems fuse information from multiple biometric traits to overcome the …

Clustering algorithms have attracted a lot of attentions recently in real-world applications.
However, the traditional clustering algorithms still have plenty of defects which are not yet …

In this paper, we propose an improved multi-objective immune algorithm based on
differential evolution, named DE-MOIA. In recent years, the multi-objective immune algorithm …

Drawing inspiration from natural selection and genetic principles, genetic algorithms serve
as heuristic global optimization tools. They excel in tackling intricate optimization and …

Direction of arrival (DOA) estimation problem has growing interest for the researcher
investigating in system identification models arising in the field of digital signal processing …

Currently, the supported non-linear solver in LibreOffice Calc is based on a hybrid algorithm
for heuristic global optimization. The hybridization is achieved with differential evolution and …

Солвърът в LibreOffice Calc се основава на хибриден алгоритъм за евристична
глобална оптимизация. Хромозомното кодиране в класическата диференциална …