Big Bang Algorithm: A New Meta-heuristic Approach for Solving Optimization Problems
Eghbal Hosseini · Asian Journal of Applied Sciences · 2017
Background and Objective: Several algorithms have been proposed for solving optimization problems recently.Among them, metaheuristics 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.