A modified Artificial Bee Colony algorithm for real-parameter optimization

By Bahriye Akay, Dervis Karaboga. Information Sciences, 2012

1,207 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Genetics

View Paper: https://www.semanticscholar.org/paper/ac18fb179a405f80bcfe94704ede659edafa1ee8

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

1. Sanyang Liu
2. R. Venkata Rao
3. Weifeng Gao
4. Vimal J. Savsani
5. Ling Huang
6. Laith Mohammad Abualigah
7. Absalom El-Shamir Ezugwu
8. Jeffrey O. Agushaka

In Computational Theory and Mathematics

1. R. Venkata Rao
2. Vimal J. Savsani
3. Sanyang Liu
4. Weifeng Gao
5. Laith Mohammad Abualigah
6. Ling Huang
7. Junjie Li
8. Zhenyue Ma

In Genetics

1. Vimal J. Savsani
2. R. Venkata Rao
3. Weifeng Gao
4. Ling Huang
5. Jeffrey O. Agushaka
6. Abdolreza Hatamlou
7. D. Vakharia
8. Sanyang Liu

Citations in the corpus

• Teaching-Learning-Based Optimization: An optimization method for continuous non-linear large scale problems (2012, methodology): “Enhancement due to modifications in the existing algorithms is reported in GA [18], PSO [5,19,27,28,31], ACO [23], ABC [4], HS [11], SFL [17], etc.”
• Teaching–learning-based optimization algorithm for unconstrained and constrained real-parameter optimization problems (2012, neutral): “2005 ), self-adaptive DE (Quin and Suganthan 2005 ), restart CMA-ES (Auger and Hansen 2005 ) and ABC (Akay and Karaboga 2010 ).”
• Gazelle optimization algorithm: a novel nature-inspired metaheuristic optimizer (2022, methodology): “Popular in this category are particle swarm optimization (PSO) [35], artificial bee colony (ABC) [9, 10], and ant colony optimization (ACO) [17].”
• A Novel Artificial Bee Colony Algorithm Based on Modified Search Equation and Orthogonal Learning (2013, methodology): “In this paper, we concentrate on ABC, developed by Karaboga [6] in 2005 based on simulating the foraging behavior of the honeybee swarm.”
• Improved artificial bee colony algorithm for global optimization (2011, methodology): “Basturk [16] proposed a modified ABC algorithm by controlling the frequency of perturbation and introducing the ratio of the variance operator.”
• 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].”
• Stochastic Fractal Search: A powerful metaheuristic algorithm (2015, neutral): “[ 33 , 34 ] , DE [ 34 ] , ABC [ 7 , 35 ] and AMO [ 36 ] .”