A comparative study of Artificial Bee Colony algorithm

By Dervis Karaboga, Bahriye Akay. Applied Mathematics and Computation, 2009

3,383 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics

View Paper: https://www.semanticscholar.org/paper/b4129e11e3cf2fba5d955cf881b5623388a347f4

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Citations in the corpus

Backtracking Search Optimization Algorithm for numerical optimization problems (2013, methodology): “Detailed information about these problems is provided in [12,13].”
Nondestructive identification of multiple flaws using XFEM and a topologically adapting artificial bee colony algorithm (2013, methodology): “It has also been compared with other various heuristic algorithms [26, 27].”
On the exploration and exploitation in popular swarm-based metaheuristic algorithms (2018, neutral): “PSO x 1⁄4 1⁄20:9 0:4 ;C1 1⁄4 C2 1⁄4 2 [34] ABC Limit 1⁄4 SwarmSize D [35] ACOR s0 1⁄4 1;q 1⁄4 0:5;x 1⁄4 0:5ðWeightFactorÞ; z 1⁄4 1ðDeviation DistanceRatioÞ [27] CS q 1⁄4 0:25 [36]”
A swarm optimization algorithm inspired in the behavior of the social-spider (2013, methodology): “emale or male individuals, respectively. However, the mating operator modifies both individual types. 4. Experimental results A comprehensive set of 19 functions, which have been collected from Refs. [34, 35, 36, 37, 38, 39, 40], has been used to test the performance of the proposed approach. Table ”
A conceptual comparison of the Cuckoo-search, particle swarm optimization, differential evolution and artificial bee colony algorithms (2011, methodology): “The methods which predicate on the collective search of the patterns for the solutions of the related problem are generally known as the artificial swarm intelligence methods (Dorigo et al. 2000, 2004; Martinoli et al. 2004; Sousa et al. 2004; Mahamed and Mehrdad 2008; Karaboga and Akay 2009b).”
Modified Grey Wolf Optimizer for Global Engineering Optimization (2016, methodology): “The major algorithms include Ant Colony Optimization (ACO) [21, 22], Particle Swarm Optimization (PSO) [18], Artificial Bee Colony (ABC) Algorithm [24], Fish Swarm Algorithm (FSA) [25], Glowworm Swarm Optimization (GSO) [26], Grey Wolf Optimizer (GWO) [27], Fruit Fly Optimization Algorithm (FFOA)…”
Rosenbrock artificial bee colony algorithm for accurate global optimization of numerical functions (2011, background): “ABC has already been shown to be a promising, population-based global optimization algorithm [1,26,33].”
Review of numerical optimization techniques for meta-device design [Invited] (2019, background): “…ab polarizations nanoantenna enhancement GA found p reflection pha of metamater include codin optimized for steering devic In additio proposed that [52] and bat umbrella of sw of decentraliz complex prob that exploits problems suc While the GA electromagnet bsorption in t over a wide fi array…”
Jaya: A simple and new optimization algorithm for solving constrained and unconstrained optimization problems (2016, neutral): “The results of GA, PSO, DE and ABC are taken from Karaboga and Akay (2009) and the results of TLBO are taken from Rao and Patel (2013) where the authors had experimented benchmark functions each with 500000 function evaluations with best setting of algorithm-specific parameters (except for TLBO for…”
Artificial ecosystem-based optimization: a novel nature-inspired meta-heuristic algorithm (2019, methodology): “25 shows, the convergence rate of ABC is nearly the same as that of TLBO, with a slight advantage for TLBO, and both methods do not seem to achieve the optimum solution in 5000 FEs.”