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Negative Selection with Ranking Procedure in Tabu-Based Multi-criterion Evolutionary Algorithm for Task Assignment

  • Jerzy Balicki
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3993)

Abstract

In this paper, an improved negative selection procedure to handle constraints in a multi-criterion evolutionary algorithm has been proposed. The problem that is of interest to us is the complex task assignment for a distributed computer system. Both a workload of a bottleneck computer and the cost of system are minimized; in contrast, a reliability of the system is maximized. Moreover, constraints related to memory limits and computer locations are imposed. Finally, an evolutionary algorithm with tabu search procedure and the improved negative selection is proposed to provide effective solutions.

Keywords

Evolutionary Algorithm Negative Selection Task Assignment Memory Limit Artificial Immune System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jerzy Balicki
    • 1
  1. 1.Naval University of GdyniaGdyniaPoland

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