Engineering of mobile telecommunication networks endures two major problems: the design of the network, and the frequency assignment. We address the first problem in this paper, which has been formulated as a multiobjective constrained combinatorial optimisation problem. We propose a genetic algorithm that aims to approximate the Pareto frontier of the problem. Advanced techniques have been use...

lipoprotein-associated phospholipase a2 (lp-pla2) is produced by inflammatory cells, bound to ldl and other lipoproteins, and hydrolyzes oxidized phospholipids in ldl. type 2 diabetes is the most common form of diabetes some investigations show the association of lipoprotein-associated phospholipase a2 mass and activity with the incidence of cardiovascular disease (cvd) in populations with high...

This study presents an analysis of nuclear power policy in the UK since 2010, associated with Coalition government and successive Conservative policies to address climate change deliver affordable clean energy. From semi-structured interviews elite participants documents, this explores detail 2010. It applies two theories process explore continuity area: multiple-elitism neo-pluralism. In case ...

In this paper, a non-dominated sorting based multi objective EA (MOEA), called Elitist non dominated sorting genetic algorithm (Elitist NSGA) has been presented for solving the fault section estimation problem in automated distribution systems, which alleviates the difficulties associated with conventional techniques of fault section estimation. Due to the presence of various conflicting object...

Distinguished by its difficulty, versatility, subtlety, and even profundity, modern physics stands among humanity’s great technical intellectual achievements. This success has been enabled continuous cultural entrepreneurship, giving rise to methods, mentalities, institutions that have together fostered both astonishing individual accomplishments an expansive powerful cooperative enterprise.Tha...

Evaluating a global optimal point in many global optimization problems in large space is required to more calculations. In this paper, there is presented a new approach for the continuous functions optimization with rotational mutation and crossover operator. This proposed method (RMC) starts from the point which has best fitness value by elitism mechanism and after that rotational mutation and...