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Asian Journal of Applied Sciences
  Year: 2017 | Volume: 10 | Issue: 3 | Page No.: 134-144
DOI: 10.3923/ajaps.2017.134.144
Big Bang Algorithm: A New Meta-heuristic Approach for Solving Optimization Problems
Eghbal Hosseini

Background and Objective: Several algorithms have been proposed for solving optimization problems recently. Among them, meta-heuristics are much faster and stronger than others. The objective of this study was to propose a new meta-heuristic algorithm to solve different kinds of optimization problems. Materials and Methods: A novel concept for the optimization of continuous programming problems using an algorithm based on big bang theory was proposed. Big bang algorithm was a practical method to solve several types of mathematical programming problems. Results: This algorithm proposes efficient solutions in a suitable time which have been evaluated using solving test problems. Finally the algorithm will be compared with both of meta-heuristic and classic approaches. Conclusion: Solving large size of the problem and also extension of the problem to other kinds of optimization programming problems such as multi-objectives would be significant for future works.
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How to cite this article:

Eghbal Hosseini , 2017. Big Bang Algorithm: A New Meta-heuristic Approach for Solving Optimization Problems. Asian Journal of Applied Sciences, 10: 134-144.

DOI: 10.3923/ajaps.2017.134.144






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