Solving optimization problems using black hole algorithm

  • Abstract
  • Keywords
  • References
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  • Abstract

    Various meta-heuristic optimization approaches have been recently created and applied in different areas. Many of these approaches are inspired by swarm behaviors in the nature. This paper studies the solving optimization problems using Black Hole Algorithm (BHA) which is a population-based algorithm. Since the performance of this algorithm was not tested in mathematical functions, we have studied this issue using some standard functions. The results of the BHA are compared with the results of GA and PSO algorithms which indicate that the performance of BHA is better than the other two mentioned algorithms.

  • Keywords

    Optimization, Meta-Heuristic Optimization, Black Hole Algorithm, Particle Swarm Optimization, Genetic Algorithm.

  • References

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Article ID: 4094
DOI: 10.14419/jacst.v4i1.4094

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