Immune systems in multi-criterion evolutionary algorithm for task assignments in distributed computer system

被引：0
作者：
Balicki, J [1 ]
机构：
[1] Naval Univ Gdynia, PL-81103 Gdynia, Poland
来源：
ADVANCES IN WEB INTELLIGENCE, PROCEEDINGS | 2005年 / 3528卷
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, an improved model of the immune system to handle constraints in multi-criteria optimization problems has been proposed. The problem that is of interest to us is the new task assignment problem for a distributed computer system. Both a workload of a bottleneck computer and the cost of machines are minimized; in contrast, a reliability of the system is maximized. Moreover, constraints related to memory limits, task assignment and computer locations are imposed on the feasible task assignment. Finally, an evolutionary algorithm based on tabu search procedure and the immune system model is proposed to provide task assignments.
引用
收藏
页码：51 / 56
页数：6
相关论文
共 15 条
  • [1] Balicki J., 2004, WSEAS Transactions on Systems, V3, P119
  • [2] Coello C. A. C., 2002, EVOLUTIONARY ALGORIT
  • [3] COELLO CAC, 2001, INT J, V1, P1
  • [4] Deb K., 2001, Multi-Objective Optimization using Evolutionary Algorithms
  • [5] DHAESELEER P, 1996, P IEEE S RES SEC PRI
  • [6] THE IMMUNE-SYSTEM, ADAPTATION, AND MACHINE LEARNING
    FARMER, JD
    PACKARD, NH
    PERELSON, AS
    [J]. PHYSICA D-NONLINEAR PHENOMENA, 1986, 22 (1-3) : 187 - 204
  • [7] FORREST S, 1991, LECT NOTES COMPUT SC, V496, P320
  • [8] HELMAN P, 1994, CS9407 U NEW MEX
  • [9] IMMUNE SYSTEM
    JERNE, NK
    [J]. SCIENTIFIC AMERICAN, 1973, 229 (01) : 52 - 60
  • [10] Kim J., 2002, P 1 INT C ART IMM SY, P57
12