In this paper the design and implementation of two versions of the compact Genetic Algorithm (cGA), with and without mutation and elitism, and a Cellular Automata-based pseudo-random number generator on a Field Programmable Gate Arrays (FPGAs) are accomplished. The design is made using a Hardware Description Language, called VHDL. Accordingly, the obtained results show that it is viable to have...

In this paper we deal with mathematical programming problems with fuzzy constraints. Fuzzy solutions are obtained by means of a parametric approach in conjuntion with evolutionary techniques. Some important characteristics of the evolutionary algorithm are a natural representation of solutions , a problem-independent technique for constraint satisfaction, tournament selection, complete generati...

In this paper, a novel approach based on handling constraints as objectives together with a modified Parks & Miller elitist technique, to solve constrained multiobjective optimization problems, is analyzed with Niched Pareto Genetic Algorithm. The performance of this approach is compared with the classical procedure of handling constraints that is the exterior penalty function method. Results a...

To better understand the communication of anti-elitism in contemporary politics, this study conceptually differentiates between specific geared toward specific, materially powerful elites (‘Angela Merkel’) and general referencing broader discursive constructs (‘the elite’). The analyses online communications radical right parties 2019 European Parliament elections from six countries (Germany, F...

Due to the combinatorial explosions in solution space for scheduling problems, the balance between genetic search and local search is an important issue when designing a memetic algorithm [23] for scheduling problems. The main motivation of this research is to resolve the combinatorial explosion problem by reducing the possible neighborhood combinations using guided operations to remove these i...

Traditional signature-based Network Intrusion Detection Systems (NIDS) suffer from high false negative rate because it can detect an intrusion only if there is an existing rule matching the particular real-time attack. The combination of Genetic Algorithms, network security schemes, and IDS practices has created a model of intelligence system that has the ability to derive new best-fit classifi...