In this research, we investigate the application of machine learning techniques to
optimization problems and propose a novel integration between metaheuristics and …

We address a new packing problem variant known as the 2D circle bin packing problem (2D-
CBPP), which involves packing circles into multiple square bins as densely as possible so …

Bio-inspired algorithms are widely and successfully used in solving complex optimization
problems. However, a common challenge faced by these algorithms is getting stuck in local …

An immune metaheuristic has been developed for solving the Weighted Feedback Vertex
Set problem, known to be a NP-complete problem, which finds applicability in many real …

Disease phenotypes are generally caused by the failure of gene modules which often have
similar biological roles. Through the study of biological networks, it is possible to identify the …

Community detection is a prominent research topic in Complex Network Analysis, and it
constitutes an important research field on all those areas where complex networks represent …

The time an offspring should live and remain into the population in order to evolve and
mature is a crucial factor of the performance of population-based algorithms both in the …

In this paper we present a hybrid immunological inspired algorithm (Hybrid-IA) for solving
the Minimum Weighted Feedback Vertex Set (MWFVS) problem. MWFVS is one of the most …

How long a B cell remains, evolves and matures inside a population plays a crucial role on
the capability for an immune algorithm to jump out from local optima, and find the global …

Given a directed graph, we present and experimentally validate new heuristics to find good
linear orderings of its vertices so to obtain Feedback Arc Sets which are minimal, ie such that …