A Preliminary Study on Impact of Dying of Solution on Performance of Multi-objective Genetic Algorithm

  • Rahila Patel
  • M. M. Raghuwanshi
  • Latesh Malik
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 259)


Genetic Algorithm (GA) mimics natural evolutionary process. Since dying of an organism is important part of natural evolutionary process, GA should have some mechanism for dying of solutions just like GA have crossover operator for birth of solutions. In nature, occurrence of event of dying of an organism has some reasons like aging, disease, malnutrition and so on. In this work we propose three strategies of dying or removal of solution from next generation population. Multi-objective Genetic Algorithm (MOGA) takes decision of removal of solution, based on one of these three strategies. Experiments were performed to show impact of dying of solutions and dying strategies on the performance of MOGA.


Multi-objective genetic algorithm (MOGA) Diversity Convergence Dying of solutions Dying strategies 


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Copyright information

© Springer India 2014

Authors and Affiliations

  • Rahila Patel
    • 1
  • M. M. Raghuwanshi
    • 2
  • Latesh Malik
    • 1
  1. 1.G.H. Raisoni College of EngineeringNagpurIndia
  2. 2.Rajiv Gandhi College of Engineering and ResearchNagpurIndia

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