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Constrained Multi-objective Biogeography Optimization Algorithm for Robot Path Planning

  • Hongwei Mo
  • Zhidan Xu
  • Qirong Tang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7928)

Abstract

Constrained multi-objective optimization involves multiple objectives subjected to some equality or inequality constraints so that it may require search a set of non-dominated feasible solutions. Inspired from this, in this paper, a novel constrained multi-objective biogeography optimization algorithm is proposed and used for solving robot path planning problem since it can be defined as a constrained multi-objective optimization problem. Experimental results compared with Non-dominated Sorting Genetic AlgorithmII show that the proposed algorithm has better performance.

Keywords

constrained multi-objective optimization differential evolution biogeography-based optimization robot path planning 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Hongwei Mo
    • 1
  • Zhidan Xu
    • 1
    • 2
  • Qirong Tang
    • 3
  1. 1.Automation CollegeHarbin Engineering UniversityHarbinChina
  2. 2.Institute of Basic ScienceHarbin University of CommerceHarbinChina
  3. 3.Institute of Engineering and Computational MechanicsUniversity of StuttgartStuttgartGermany

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