Evolving Distributed Algorithms with Genetic Programming: Election

被引：0
|
作者：
Weise, Thomas [1 ]
Zapf, Michael [1 ]
机构：
[1] Univ Kassel, Distributed Syst Grp, D-34121 Kassel, Germany
来源：
WORLD SUMMIT ON GENETIC AND EVOLUTIONARY COMPUTATION (GEC 09) | 2009年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we present a detailed analysis of the application of Genetic Programming to the evolution of distributed algorithms. This research field has many facets which make it especially difficult. These aspects are discussed and countermeasures are provided. Six different Genetic Programming approaches (SGP, eSGP, LGP, RBGP, eRBGP, and Fraglets) are applied to the election problem as case study utilizing these countermeasures. The results of the experiments are analyzed statistically and discussed thoroughly.
引用
收藏
页码：577 / 584
页数：8
相关论文
共 50 条
  • [31] A Genetic Programming Approach for Evolving Variable Selectors in Constraint Programming
    Nguyen, Su
    Thiruvady, Dhananjay
    Zhang, Mengjie
    Tan, Kay Chen
    IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2021, 25 (03) : 492 - 507
  • [32] Distributed Algorithms on IoT Devices: Bully Leader Election
    Mendez, Mariano
    Tinetti, Fernando G.
    Duran, Adrian M.
    Obon, Daniel A.
    Bartolome, Natalia G.
    PROCEEDINGS 2017 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE (CSCI), 2017, : 1351 - 1355
  • [33] Distributed Algorithms on IoT Devices: Bully Leader Election
    Mendez, Mariano
    Tinetti, Fernando G.
    Duran, Adrian M.
    Obon, Daniel A.
    Bartolome, Natalia G.
    Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017, 2018, : 1351 - 1355
  • [34] Genetic algorithms and genetic programming in computational finance
    Chattoe, E
    JASSS-THE JOURNAL OF ARTIFICIAL SOCIETIES AND SOCIAL SIMULATION, 2004, 7 (04):
  • [35] Genetic programming operators applied to genetic algorithms
    Vrajitoru, D
    GECCO-99: PROCEEDINGS OF THE GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, 1999, : 686 - 693
  • [36] Doing genetic algorithms the genetic programming way
    Ryan, C
    Nicolau, M
    GENETIC PROGRAMMING THEORY AND PRACTICE, 2003, 6 : 189 - 204
  • [37] Evolving evolutionary algorithms using multi expression programming
    Oltean, M
    Grosan, C
    ADVANCES IN ARTIFICIAL LIFE, PROCEEDINGS, 2003, 2801 : 651 - 658
  • [38] Hierarchical distributed genetic algorithms
    Herrera, F
    Lozano, M
    Moraga, C
    INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 1999, 14 (11) : 1099 - 1121
  • [39] Dynamic distributed genetic algorithms
    Yi, WL
    Liu, QZ
    He, YB
    PROCEEDINGS OF THE 2000 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2, 2000, : 1132 - 1136
  • [40] Evolving feature-extraction algorithms: Adapting genetic programming for image analysis in geoscience and remote sensing
    Daida, JM
    BersanoBegey, TF
    Ross, SJ
    Vesecky, JF
    IGARSS '96 - 1996 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM: REMOTE SENSING FOR A SUSTAINABLE FUTURE, VOLS I - IV, 1996, : 2077 - 2079
12345