A New Genetic Algorithm Applied to Multi-Objectives Optimal of Upgrading Infrastructure in NGWN

• 作者: Dac Binh Ha Dac-Nhuong Le Nhu Gia Nguyen Vinh Trong Le
• 来源期刊: 通讯与网络(英文)
• 学科: 医学
• 关键词: Multi-Objectives Optimal NEXT Generation Wireless NETWORK NETWORK Design Capacity Planning GENETIC Algorithm Two-populations
• 年，卷（期）: 2013,（3）
• 页码范围: 223-231
• 页数: 9页
• 分类号: R73

摘要

A problem of upgrading to the Next Generation Wireless Network (NGWN) is backward compatibility with pre-existing networks, the cost and operational benefit of gradually enhancing networks, by replacing, upgrading and installing new wireless network infrastructure elements that can accommodate both voice and data demand. In this paper, we propose a new genetic algorithm has double population to solve Multi-Objectives Optimal of Upgrading Infrastructure (MOOUI) problem in NGWN. We modeling network topology for MOOUI problem has two levels in which mobile users are sources and both base stations and base station controllers are concentrators. Our objective function is the sources to concentrators connectivity cost as well as the cost of the installation, connection, replacement, and capacity upgrade of infrastructure equipment. We generate two populations satisfy constraints and combine them to build solutions and evaluate the performance of my algorithm with data randomly generated. Numerical results show that our algorithm is a promising approach to solve this problem.