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Auto-adaptation of Genetic Operators for Multi-objective Optimization in the Firefighter Problem

  • Krzysztof Michalak
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8669)

Abstract

In the firefighter problem the spread of fire is modelled on an undirected graph. The goal is to find such an assignment of firefighters to the nodes of the graph that they save as large part of the graph as possible.

In this paper a multi-objective version of the firefighter problem is proposed and solved using an evolutionary algorithm. Two different auto-adaptation mechanisms are used for genetic operators selection and the effectiveness of various crossover and mutation operators is studied.

Keywords

operator auto-adaptation multi-objective evolutionary optimization graph-based optimization firefighter problem 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Krzysztof Michalak
    • 1
  1. 1.Department of Information Technologies, Institute of Business InformaticsWroclaw University of EconomicsWroclawPoland

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