EGONET: A genetic algorithm model for the optimisation of telephone networks

被引：0
作者：
Tout, K [1 ]
Von Goldammer, E
Evans, DJ
机构：
[1] Lebanese Univ, Fac Sci 1, Beirut, Lebanon
[2] Inst Kybernet & Syst Theorie, D-44388 Dortmund, Germany
[3] Nottingham Trent Univ, Dept Comp, Nottingham, England
来源：
INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS | 2003年 / 80卷 / 04期
关键词：
optimisation; heuristic algorithms; telephone networks; genetic algorithms; networks layout design;
D O I：
10.1080/0020716021000059124
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
The aim of this paper is to study the use of genetic algorithms for the optimisation of telephone networks layout design. The genetic algorithms are used to design the network in a geographical sense with minimum costs depending on a set of rcal-world rules (constraints). A genetic algorithm tool (EGONET) is described. EGONET is written in ANSI-C and thus can be used on a wide range of platforms. EGONET was tested under Unix/Linux, OS/2 and Windows 98.
引用
收藏
页码：441 / 455
页数：15
相关论文
共 50 条
  • [31] IMPLEMENTING ARTIFICIAL NEURAL NETWORKS AND GENETIC ALGORITHMS TO SOLVE MODELING AND OPTIMISATION OF BIOGAS PRODUCTION
    Fakharudin, Abdul Sahli
    Sulaiman, Md Nasir
    Salihon, Jailani
    Zainol, Norazwina
    COMPUTING & INFORMATICS, 4TH INTERNATIONAL CONFERENCE, 2013, 2013, : 121 - +
  • [32] On genetic optimisation of excitation simulation model in HESS
    Ye, Xu
    Hai, Zhao
    INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL, 2011, 14 (04) : 265 - 271
  • [33] Using genetic algorithms coupling neural networks in a study of xylitol production: medium optimisation
    Fang, BS
    Chen, HW
    Xie, XL
    Wan, N
    Hu, ZD
    PROCESS BIOCHEMISTRY, 2003, 38 (07) : 979 - 985
  • [34] Economic optimisation of microgrid based on improved quantum genetic algorithm
    Huang Shen
    Liu Hongjing
    Wu Linlin
    Zhou Feng
    Miao Wang
    Li Yang
    Gao Jie
    JOURNAL OF ENGINEERING-JOE, 2019, (16): : 1167 - 1174
  • [35] Optimisation of suction pressure for iron ore sintering by genetic algorithm
    Nath, NK
    Mitra, K
    IRONMAKING & STEELMAKING, 2004, 31 (03) : 199 - 206
  • [36] Exothermic Batch Process Optimisation via Multivariable Genetic Algorithm
    Tan, Min Keng
    Chuo, Helen Sin Ee
    Tham, Heng Jin
    Teo, Kenneth Tze Kin
    2012 INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER SCIENCE APPLICATIONS AND TECHNOLOGIES (ACSAT), 2012, : 43 - 48
  • [37] Transonic airfoil design and optimisation by using vibrational genetic algorithm
    Hacioglu, A
    Özkol, I
    AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY, 2003, 75 (04): : 350 - 357
  • [38] Solving an assembly sequence optimisation problem using the genetic algorithm
    Alharbi, Fawaz
    Wang, Qian
    2018 INTERNATIONAL CONFERENCE ON ELECTRONICS, CONTROL, OPTIMIZATION AND COMPUTER SCIENCE (ICECOCS), 2018,
  • [39] Genetic algorithm and pure random search for exosensor distribution optimisation
    Poland, Michael P.
    Nugent, Christopher D.
    Wang, Hui
    Chen, Liming
    INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION, 2012, 4 (06) : 359 - 372
  • [40] Small satellite structural optimisation using genetic algorithm approach
    Boudjemai, A.
    Bouanane, M. H.
    Merad, L.
    Mohammed, A. M. Si
    2007 3RD INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN SPACE TECHNOLOGIES, VOLS 1 AND 2, 2007, : 398 - +
12345