Golden eagle optimizer: A nature-inspired metaheuristic algorithm

作者: Abdolkarim Mohammadi-Balani , Mahmoud Dehghan Nayeri , Adel Azar , Mohammadreza Taghizadeh-Yazdi

DOI: 10.1016/J.CIE.2020.107050

关键词:

摘要: This paper proposes a nature-inspired swarm-based metaheuristic for solving global optimization problems called Golden Eagle Optimizer (GEO). The core inspiration of GEO is …

参考文章(70)
David E. Goldberg, John H. Holland, Genetic Algorithms and Machine Learning Machine Learning. ,vol. 3, pp. 95- 99 ,(1988) , 10.1023/A:1022602019183
Margarita Reyes Sierra, Carlos A. Coello Coello, Improving PSO-Based multi-objective optimization using crowding, mutation and ∈-dominance international conference on evolutionary multi criterion optimization. pp. 505- 519 ,(2005) , 10.1007/978-3-540-31880-4_35
A. Kaveh, V.R. Mahdavi, Colliding bodies optimization: A novel meta-heuristic method Computers & Structures. ,vol. 139, pp. 18- 27 ,(2014) , 10.1016/J.COMPSTRUC.2014.04.005
Ali Husseinzadeh Kashan, A new metaheuristic for optimization Computers & Operations Research. ,vol. 55, pp. 99- 125 ,(2015) , 10.1016/J.COR.2014.10.011
Zong Woo Geem, Joong Hoon Kim, G.V. Loganathan, A New Heuristic Optimization Algorithm: Harmony Search international conference on advances in system simulation. ,vol. 76, pp. 60- 68 ,(2001) , 10.1177/003754970107600201
R.V. Rao, V.J. Savsani, D.P. Vakharia, Teaching-learning-based optimization: A novel method for constrained mechanical design optimization problems Computer-aided Design. ,vol. 43, pp. 303- 315 ,(2011) , 10.1016/J.CAD.2010.12.015
Seyedali Mirjalili, The Ant Lion Optimizer Advances in Engineering Software. ,vol. 83, pp. 80- 98 ,(2015) , 10.1016/J.ADVENGSOFT.2015.01.010
S. Kirkpatrick, C. D. Gelatt, M. P. Vecchi, Optimization by Simulated Annealing Science. ,vol. 220, pp. 671- 680 ,(1983) , 10.1126/SCIENCE.220.4598.671