The Learnable Evolution Model (LEM) involves alternating periods of optimization and learning, performa extremely well on a range of problems, a specialises in achieveing good resu...
This article describes a mathematical framework for characterizing cooperativity in complex systems subject to evolutionary pressures. This framework uses three foundational compo...
Phylogenetic trees are commonly reconstructed based on hard optimization problems such as Maximum parsimony (MP) and Maximum likelihood (ML). Conventional MP heuristics for produc...
Anupam Bhattacharjee, Kazi Zakia Sultana, Zalia Sh...
The synergy of software and hardware leads to efficient application expression profile (AEP) not only in terms of execution time and energy but also optimal architecture usage. We...
Abstract. In the last years, several papers have proposed to adopt multiobjective evolutionary algorithms (MOEAs) to generate Mamdani fuzzy rulebased systems with different trade-o...
Michela Antonelli, Pietro Ducange, Beatrice Lazzer...