- 期刊
- OpenAccess
A Survey on Meta-Heuristic Global Optimization Algorithms
並列摘要
Optimization has been an active area of research for several decades. As many real-world optimization problems become increasingly complex, better optimization algorithms are always needed. Recently, metaheuristic global optimization algorithms have become a popular choice for solving complex and intricate problems, which are otherwise difficult to solve by traditional methods. In the present study, an attempt is made to review the most popular and well known metaheuristic global optimization algorithms introduced during the past decades.
延伸閱讀
- Jiao, H. W., & Chen, Y. Q. (2013). A Global Optimization Algorithm for Generalized Quadratic Programming. Journal of Applied Mathematics, 2013(), 10-18-101. https://doi.org/10.1155/2013/215312
- 洪偉展（2014）。Using Meta Heuristic in Constructing Classification Process〔博士論文，國立暨南國際大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0020-0302201423394600
- Yuehfeng, H. L. (2013). Metamodel-based Frameworks for Stochastic Optimization [doctoral dissertation, National Tsing Hua University]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0016-2912201413521766
- 莊國賢（2010）。A hyper-heuristic algorithm for optimizing customized learning paths〔碩士論文，國立暨南國際大學〕。華藝線上圖書館。https://doi.org/10.6837/NCNU.2010.00107
- Sankar, A., Parameswaran, R., Shenoi, S. P., & Kumar, P. N. (2015). A Postulatory Study on Portfolio Optimization Algorithms: A Survey. Research Journal of Applied Sciences, Engineering and Technology, 11(9), 988-993. https://www.airitilibrary.com/Article/Detail?DocID=20407467-201511-201601200033-201601200033-988-993