A Genetic Algorithm for Overall Designing and Planning of a Long Term Evolution Advanced Network

Abstract

In the mobile radio industry, planning is a fundamental step for the deployment and commissioning of a Telecom network. The proposed models are based on the technology and the focussed architecture. In this context, we introduce a comprehensive single-lens model for a fourth generation mobile network, Long Term Evolution Advanced Network (4G/LTE-A) technology which includes three sub assignments: cells in the core network. In the resolution, we propose an adaptation of the Genetic Evolutionary Algorithm for a global resolution. This is a combinatorial optimization problem that is considered as difficult. The use of this adaptive method does not necessarily lead to optimal solutions with the aim of reducing the convergence time towards a feasible solution.

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“…The genetic algorithm continuously searches for a space of solutions by applying natural selection and the law of inheritance to the solutions of a generation [8]. The genetic algorithm can solve optimization or decision-making problems because its concepts and theory are simple, and it has demonstrated excellent performance when searching for numerous random solutions set by researchers [19,20]. In particular, the genetic algorithm is appropriate for solving problems with many variables and constraints because of its excellent search function in a complex solution space [8].…”

Research on e-Commerce Distribution Optimization of Rice Agricultural Products Based on Consumer Satisfaction

“…When this probability is reached, two gene loci are randomly selected from the optimal individual after selection and crossover operation to achieve the mutation operation [33], as shown in Figure 1. In the operation process, if g G  , the operation will continue from step (3) until the individual with the maximum fitness and the optimal solution are output after the operation is terminated algebra [37].…”