Outline
- Abstract
- Keywords
- 1. Introduction
- 2. Cuckoo Optimization Algorithm
- 3. Simple Additive Weighting Method
- 4. Presentation of Hybrid Coaw Algorithm
- 5. Implementation of Coaw Algorithm on Some Test Problem
- 6. the Solution of Test Problems
- 7. Conclusion
- References
رئوس مطالب
- چکیده
- کلید واژه ها
- 1. مقدمه
- 2. الگوریتم بهینه سازی فاخته
- 3. روش افزودن وزن ساده
- 4. ارائه الگوریتم ترکیبی CoAW
- 5. تحقیق الگوریتم COAW در بعضی از مشکلات آزمون
- 6. راه حل های مشکلات تست
- 7. نتیجه گیری
Abstract
In this article using Cuckoo Optimization Algorithm and simple additive weighting method the hybrid COAW algorithm is presented to solve multi-objective problems. Cuckoo algorithm is an efficient and structured method for solving nonlinear continuous problems. The created Pareto frontiers of the COAW proposed algorithm are exact and have good dispersion. This method has a high speed in finding the Pareto frontiers and identifies the beginning and end points of Pareto frontiers properly. In order to validation the proposed algorithm, several experimental problems were analyzed. The results of which indicate the proper effectiveness of COAW algorithm for solving multi-objective problems.
Keywords: Cuckoo Optimization Algorithm (COA) - Multi-objective optimization problem (MOP) - Pareto frontier - simple additive weighting (SAW)Conclusions
In this paper the hybrid COAW algorithm was presented to solve multi-objective problems. The hybrid approach includes Cuckoo Algorithm and Simple Additive Weighting method. The algorithm was analyzed for a number of experimental problems and compared with several similar methods. The results indicate the accuracy in finding Pareto frontiers. Also the Pareto frontier is better than similar methods and as a result COAW proposed method is reliable, fast and simple to solve multi-objective optimization problems.