Chaotic bee colony algorithms for global numerical optimization

By Bilal Alatas. Expert systems with applications, 2010

558 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/b9479028ae963354742c80fdcfb1801a7de40209

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

Citations in the corpus

A comprehensive survey: artificial bee colony (ABC) algorithm and applications (2012, methodology): “(2011),Atashkari et al. (2011),Arsuaga-Rios et al.”
Chaotic harmony search algorithms (2010, background): “Moreover, it has a very sensitive dependence upon its initial condition and parameter [19,23].”
Rosenbrock artificial bee colony algorithm for accurate global optimization of numerical functions (2011, methodology): “The parameters of functions and algorithms were identical to [3].”
A Novel Artificial Bee Colony Algorithm Based on Modified Search Equation and Orthogonal Learning (2013, background): “Alatas [27] introduced the chaotic maps into the initialization and chaotic search into the scout bee phase and proposed the chaotic ABC.”
Improved artificial bee colony algorithm for global optimization (2011, methodology): “At last, IABC is compared with CABC [18], GABC [14] and RABC [17].”
A self-adaptive artificial bee colony algorithm based on global best for global optimization (2017, methodology): “Gao and Liu (2012), we also designed a novel initialization algorithm that uses chaotic systems (Alatas 2010) and opposition-based learning method (Rah-namayan et al. 2008).”
Chaotic Local Search-Based Differential Evolution Algorithms for Optimization (2021, methodology): “…such as chaotic BBO [40], chaotic bat algorithm [29], [41], chaotic cuckoo search [42], chaotic fruit ﬂy optimization algorithm [43], chaotic krill herd algorithm [44], ﬁreﬂy algorithm with chaos [45], chaotic harmony search algorithm [46], and chaotic imperialist competitive algorithm [47].”
Firefly algorithm with chaos (2013, methodology): “Previously, Chaotic sequences have been used together with some heuristic optimization algorithms such as genetic algorithms [8], harmony search [9], simulated annealing [10], particle swarm optimization [11], Imperialist Competitive Algorithm [12], ant and bee colony optimization [13,14] and Big Ba”