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Visual Analysis of Genetic Algorithms While Solving 0-1 Knapsack Problem

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Computational Vision and Bio Inspired Computing

Part of the book series: Lecture Notes in Computational Vision and Biomechanics ((LNCVB,volume 28))

Abstract

This paper presents heat map based visual analysis of Genetic Algorithm (GA) solving 0-1 Knapsack Problem (KP). The current work is a preliminary investigation to understand the search strategy of GA solving KP through visual means. A simple GA has been employed to solve 50, 100 and 500 items 0-1 KP. Heat map based visualization of best chromosomes shows clearly the explorative and exploitative search strategies of GA in conjunction with convergence characteristics. This paper demonstrates the potential of visualization to analyze and understand Evolutionary Algorithms (EA) in general.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India

    B. P. Sathyajit & C. Shunmuga Velayutham

Authors
  1. B. P. Sathyajit
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  2. C. Shunmuga Velayutham
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Correspondence to B. P. Sathyajit .

Editor information

Editors and Affiliations

  1. Karunya University , Coimbatore, Tamil Nadu, India

    D. Jude Hemanth

  2. RVS Technical Campus, Coimbatore, Tamil Nadu, India

    S. Smys

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Sathyajit, B.P., Velayutham, C.S. (2018). Visual Analysis of Genetic Algorithms While Solving 0-1 Knapsack Problem. In: Hemanth, D., Smys, S. (eds) Computational Vision and Bio Inspired Computing . Lecture Notes in Computational Vision and Biomechanics, vol 28. Springer, Cham. https://doi.org/10.1007/978-3-319-71767-8_6

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  • DOI: https://doi.org/10.1007/978-3-319-71767-8_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-71766-1

  • Online ISBN: 978-3-319-71767-8

  • eBook Packages: EngineeringEngineering (R0)

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