Multi-Verse Optimizer: a nature-inspired algorithm for global optimization

  title={Multi-Verse Optimizer: a nature-inspired algorithm for global optimization},
  author={Seyed Mohammad Mirjalili and Abdolreza Hatamlou},
  journal={Neural Computing and Applications},
This paper proposes a novel nature-inspired algorithm called Multi-Verse Optimizer (MVO). The main inspirations of this algorithm are based on three concepts in cosmology: white hole, black hole, and wormhole. The mathematical models of these three concepts are developed to perform exploration, exploitation, and local search, respectively. The MVO algorithm is first benchmarked on 19 challenging test problems. It is then applied to five real engineering problems to further confirm its… CONTINUE READING
Highly Influential
This paper has highly influenced 11 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 218 citations. REVIEW CITATIONS
Recent Discussions
This paper has been referenced on Twitter 1 time over the past 90 days. VIEW TWEETS


Publications citing this paper.
Showing 1-10 of 79 extracted citations

218 Citations

Citations per Year
Semantic Scholar estimates that this publication has 218 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 58 references

Particle swarm optimization

  • J Kennedy, R Eberhart
  • Proceedings of IEEE international conference on…
  • 1995
Highly Influential
8 Excerpts

a new metaheuristic optimization algorithm

  • Cheng M-Y, Prayogo D Symbiotic organisms search
  • Comput Struct 139:98–112 Neural Comput & Applic
  • 2016

Symbiotic organisms search : a new metaheuristic optimization algorithm

  • Cheng M-Y, D Prayogo
  • Comput Struct
  • 2014

Similar Papers

Loading similar papers…