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Meng, X., Liu, Y., Gao, X. and Zhang, H. (2014) A New Bio-Inspired Algorithm: Chicken Swarm Optimization. In: Tan, Y., Shi, Y., Coello, C.A.C., Eds., Advances in Swarm Intelligence, ICSI 2014. Lecture Notes in Computer Science, Vol. 8794. Springer, Cham, 86-94.
https://doi.org/10.1007/978-3-319-11857-4_10

has been cited by the following article:

• TITLE: Hybrid Whale Optimization Algorithm with Modified Conjugate Gradient Method to Solve Global Optimization Problems

  AUTHORS: Layth Riyadh Khaleel, Ban Ahmed Mitras

  KEYWORDS: Conjugate Gradient Methods, Meta-Heuristic Algorithms, Whale Optimization Algorithm

  JOURNAL NAME: Open Access Library Journal, Vol.7 No.6, June 30, 2020

  ABSTRACT: Whale Optimization Algorithm (WOA) is a meta-heuristic algorithm. It is a new algorithm, it simulates the behavior of Humpback Whales in their search for food and migration. In this paper, a modified conjugate gradient algorithm is proposed by deriving new conjugate coefficient. The sufficient descent and the global convergence properties for the proposed algorithm proved. Novel hybrid algorithm of the Whale Optimization Algorithm (WOA) proposed with modified conjugate gradient Algorithm develops the elementary society that randomly generated as the primary society for the Whales optimization algorithm using the characteristics of the modified conjugate gradient algorithm. The efficiency of the hybrid algorithm measured by applying it to (10) of the optimization functions of high measurement with different dimensions and the results of the hybrid algorithm were very good in comparison with the original algorithm.