−− Dynamic Matrix Control Algorithm is a powerful control method widely applied to industrial processes. The idea of this work is to use the Genetic Algorithms (GA) with the elitism strategy to optimize the tuning parameters of the Dynamic Matrix Controller for SISO (single-input single-output) and MIMO (multi-input multi-output) processes with constraints. A comparison is made between the comp...

In partial shading situations, the power–voltage (P–V) characteristics of photovoltaic (PV) systems become more complex due to many local maxima. Hence, traditional maximum power point tracking (MPPT) techniques fail recognize global (MPP), resulting in a significant drop produced power. Global optimization strategies, such as metaheuristic approaches, efficiently address this issue. This work ...

In this paper, we adopt the notion of populism as a communication phenomenon that includes typical elements content (i.e. people, anti-elitism, and exclusion out-groups) style evoking fear, oversimplification, language). We thus move away from actor-centric approaches towards content-centric approach studying populism. Empirically, our study measures to varying degrees forms in 3,564 Facebook p...

The aim of this article is to review health-related aspects of Ramadan fasting in normal individuals and diabetics. During fasting days of Ramadan, glucose homeostasis is maintained by meal taken bepore dawn and by liver glycogen stores. Changes in serum lipids are variable and defend on the quality and quantity of food consumption and changes in weight. Compliant, well controlled type 2 diabet...

Among the currently successful Evolutionary Multi-Objective Algorithms (MOEAs), elitism and no sharing factor are two common characteristics and have been demonstrated to improve performance significantly. Based on these two principles, two heuristics, with which impressive improvements were showed in single objective optimization, are introduced in a newly designed EMOA in this paper: multi-pa...

The very subject of giftedness is fraught with contradiction and controversy. On the one hand, we often encounter misunderstanding, envy, and perceived elitism—and on the other, admiration, dependency, and respect. Little wonder that our K–12 education system has not yet determined how best to nurture extraordinary individuals so that they can become extraordinary contributors to society—and fe...

Distance method is a very efficient method to solve multicriteria optimization problems using genetic algorithms. This article propose two modifications to distance method. The first modification is the choice of a selection operator that gives better results than the classical roulette wheel when used with distance method. The second one is the introduction of an original elistist strategy, ca...

In this paper, we present the first proposal to use a cultural algorithm to solve multiobjective optimization problems. Our proposal uses evolutionary programming, Pareto ranking and elitism (i.e., an external population). The approach proposed is validated using several examples taken from the specialized literature. Our results are compared with respect to the NSGA-II, which is an algorithm r...

In this paper, a double orthogonal array based genetic algorithm is proposed to decrease the searching space and increase the feasible quality of primers. The key point of the proposed algorithm is to achieve the elitism goal by applying the orthogonal arrays (OAs) that is used in quality engineering with a small amount of experimental features. The result shows that the proposed algorithm conv...