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A Multi-Verse Optimizer with Levy Flights for Numerical Optimization and Its Application in Test Scheduling for Network-on-Chip

Author

Listed:
  • Cong Hu
  • Zhi Li
  • Tian Zhou
  • Aijun Zhu
  • Chuanpei Xu

Abstract

We propose a new meta-heuristic algorithm named Levy flights multi-verse optimizer (LFMVO), which incorporates Levy flights into multi-verse optimizer (MVO) algorithm to solve numerical and engineering optimization problems. The Original MVO easily falls into stagnation when wormholes stochastically re-span a number of universes (solutions) around the best universe achieved over the course of iterations. Since Levy flights are superior in exploring unknown, large-scale search space, they are integrated into the previous best universe to force MVO out of stagnation. We test this method on three sets of 23 well-known benchmark test functions and an NP complete problem of test scheduling for Network-on-Chip (NoC). Experimental results prove that the proposed LFMVO is more competitive than its peers in both the quality of the resulting solutions and convergence speed.

Suggested Citation

  • Cong Hu & Zhi Li & Tian Zhou & Aijun Zhu & Chuanpei Xu, 2016. "A Multi-Verse Optimizer with Levy Flights for Numerical Optimization and Its Application in Test Scheduling for Network-on-Chip," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-22, December.
    • Handle: RePEc:plo:pone00:0167341
    DOI: 10.1371/journal.pone.0167341
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    References listed on IDEAS

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    1. Chen Liu & Wen-Bo Du & Wen-Xu Wang, 2014. "Particle Swarm Optimization with Scale-Free Interactions," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-8, May.
    2. Younes Saadi & Iwan Tri Riyadi Yanto & Tutut Herawan & Vimala Balakrishnan & Haruna Chiroma & Anhar Risnumawan, 2016. "Ringed Seal Search for Global Optimization via a Sensitive Search Model," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-31, January.
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    1. Laith Abualigah & Ali Diabat & Davor Svetinovic & Mohamed Abd Elaziz, 2023. "Boosted Harris Hawks gravitational force algorithm for global optimization and industrial engineering problems," Journal of Intelligent Manufacturing, Springer, vol. 34(6), pages 2693-2728, August.

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