#### DMCA

## An Improved Memetic Search in Artificial Bee Colony Algorithm

Citations: | 1 - 0 self |

### Citations

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399 | Differential Evolution—A Simple and Efficient Heuristic for Global Optimization Over Continuous Spaces,” - Storn, Price - 1997 |

165 | Problem definitions and evaluation criteria for the cec 2005 special session on real-parameter optimization,” 1School of EEE,
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Citation Context ...able and of different dimensions. In order tosanalyse the performance of IMeABC, it is applied to globalsoptimization problems (f1 to f14) listed in Table I. Testsproblems f1 –f14 are taken from [50]-=-=[52]-=-.sCompression Spring (f14): The compression springsproblem [50] minimizes the weight of a compression springsthat is subjected to constraints of shear stress, surgesfrequency, minimum deflection and l... |

103 |
Sequential minimax search for a maximum.
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Citation Context ...]sprojected a memetic algorithm for solution for providingsgroup anonymity. JC Bansal et al [12] incorporatedsmemetic search in artificial bee colony algorithm inspiredsby golden section search (GSS) =-=[47]-=-. F. Kang et al [9]sprojected a new memetic algorithm HJABC inspired byshooke-jeeves method [10]. I. Fister et al [46] estimated asmemetic ABC algorithm for large-scale global optimization.sS Kumar et... |

71 | A numerical evaluation of several stochastic algorithms on selected continuous global optimization test problems, - Ali, Khompatraporn, et al. - 2005 |

36 | Firefly algorithms for multimodal optimization”,
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Citation Context ... in recent years consist of antscolony optimization (ACO) [1], artificial bee colonysalgorithm [6], particle swarm optimization (PSO) [2],sbacterial foraging optimization (BFO) [5], firefly algorithms=-=[54]-=- and spider monkey optimization algorithm [55, 57] etc.sArtificial bee colony (ABC) optimization algorithmsintroduced by Dervis Karaboga [6] is am up to datesaccumulation in this class. ABC algorithm ... |

4 |
Žumer, Memetic artificial bee colony algorithm for large-scale global optimization, in
- Fister, Jr, et al.
(Show Context)
Citation Context ...search in artificial bee colony algorithm inspiredsby golden section search (GSS) [47]. F. Kang et al [9]sprojected a new memetic algorithm HJABC inspired byshooke-jeeves method [10]. I. Fister et al =-=[46]-=- estimated asmemetic ABC algorithm for large-scale global optimization.sS Kumar et al. [13] proposed a randomized memetic ABCswith modified GSS process.sMemetic algorithm given by Kang et al. [9] incl... |

4 |
Opposition based lévy flight artificial bee colony
- Sharma, Bansal, et al.
- 2013
(Show Context)
Citation Context ...separable and of different dimensions. In order tosanalyse the performance of IMeABC, it is applied to globalsoptimization problems (f1 to f14) listed in Table I. Testsproblems f1 –f14 are taken from =-=[50]-=--[52].sCompression Spring (f14): The compression springsproblem [50] minimizes the weight of a compression springsthat is subjected to constraints of shear stress, surgesfrequency, minimum deflection ... |

3 |
Spider monkey optimization algorithm for numerical optimization
- Bansal, Sharma, et al.
- 2013
(Show Context)
Citation Context ...ation (ACO) [1], artificial bee colonysalgorithm [6], particle swarm optimization (PSO) [2],sbacterial foraging optimization (BFO) [5], firefly algorithms[54] and spider monkey optimization algorithm =-=[55, 57]-=- etc.sArtificial bee colony (ABC) optimization algorithmsintroduced by Dervis Karaboga [6] is am up to datesaccumulation in this class. ABC algorithm is inspired by thesintelligent social behaviour of... |

3 |
Balanced artificial bee colony algorithm."International
- Bansal
- 2013
(Show Context)
Citation Context ...ration processes, they propose to make three majorschanges by introducing the best-so-far method, ansadjustable search radius, and an objective-value-basedscomparison method in DE. J.C. Bansal et al. =-=[56]-=- wishedfor balanced ABC; they introduced a novel controlsparameter, Cognitive Learning Factor and also modifiedsrange of ɸij in Artificial Bee Colony algorithm.sF Qingxian and D Haijun proposed a modi... |

2 |
Memetic Algorithm for Solving the Task of Providing Group Anonymity
- Chertov, Tavrov
- 2014
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Citation Context ...ithm for the maximum multiplicity problemsinspired by Tabu search. X. Xue et al. [44] Optimizesontology coalition by means of Memetic Algorithm basedson partial reference alignment. O. Chertov et al. =-=[45]-=-sprojected a memetic algorithm for solution for providingsgroup anonymity. JC Bansal et al [12] incorporatedsmemetic search in artificial bee colony algorithm inspiredsby golden section search (GSS) [... |

1 |
R Kumari (2014) Enhanced Local Search
- Sharma
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Citation Context ...onal)sand two real world problems to the basic ABC and itssrecent variants named, Memetic ABC (MeABC) [12],sRandomized Memetic ABC (RMABC) [13], ModifiedsABC (MABC) [14], Enhanced local search in ABC =-=[53]-=-sand Improved Onlooker bee phase in ABC (IoABC) [15].sRest of the paper is organized as follows: Sect. 2sdescribes brief overview of the basic ABC. Section 3sdiscusses some recent modifications in ABC... |

1 |
R Kumari (2014) Modified position update in spider monkey optimization algorithm
- Sharma
(Show Context)
Citation Context ...ation (ACO) [1], artificial bee colonysalgorithm [6], particle swarm optimization (PSO) [2],sbacterial foraging optimization (BFO) [5], firefly algorithms[54] and spider monkey optimization algorithm =-=[55, 57]-=- etc.sArtificial bee colony (ABC) optimization algorithmsintroduced by Dervis Karaboga [6] is am up to datesaccumulation in this class. ABC algorithm is inspired by thesintelligent social behaviour of... |