A Novel Artificial Bee Colony Algorithm with Opposition-Based Learning

• Main Authors: Ming-Hsun Hsieh, 謝明勳
• Other Authors: Wei-Ping Lee
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/18220282148601992450

碩士 === 中原大學 === 資訊管理研究所 === 100 === The Artificial Bee Colony algorithm (ABC) popular in recent years evolutionary computation, the advantage of a simple parameter setting, high stability, fast convergence and high quality solutions, and can be applied to real world problems, initial Exploration of accuracy is not high in the solution process, however, vulnerable to the region the optimal solution can not jump out of the weak features of the solution space and the development stage. Opposition-based learning strategies improved Employee bees in this study, the introduction of the optimal solution to guide the improvement observed bee, combined with the leapfrog algorithm local evolution of improved detection of bee, The advantage of the formula is simple, fast execution speed, and then to explore the balance of capacity and development capabilities. This study recognized the function of the test and the non-zero optimal solution test functions have good performance, more suitable for complex real-world problems.