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Artificial Bee Colony Algorithm: A Survey
2016
International Journal of Computer Applications
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In the last two decades, a large number of new algorithm based on natural phenomenon like artificial bee colony algorithm are developed and used to find solution of many real world problems. ...
Artificial bee colony optimization algorithm is one of the popular swarm intelligence technique anticipated by D. Karaboga in year 2005. ...
A Novel Hybrid Memetic
Search in Artificial Bee Colony Algorithm [25] developed by
S. ...
doi:10.5120/ijca2016911384
fatcat:t3bau6r74zeidbkwk2oaaw6vlm
A novel chaotic artificial bee colony algorithm based on Tent map
2014
2014 IEEE Congress on Evolutionary Computation (CEC)
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A novel self-adaptive chaotic artificial bee colony algorithm based on Tent map (STOC-ABC) is proposed to enhance the global convergence and the population diversity. ...
Furthermore, the self-adaptive Tent chaotic searching is implemented at the zones nearby individual optimum solution to help the artificial bee colony (ABC) algorithm to escape from the local optimum effectively ...
CONCLUSION A novel chaotic artificial bee colony algorithm based on Tent map is proposed to enhance the population diversity, and prevent the ABC plunging into local solutions. ...
doi:10.1109/cec.2014.6900278
dblp:conf/cec/KuangJXKZ14
fatcat:scjb6be4frgcjan7eg6ncgdrmu
Editorial
2013
Memetic Computing
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Artificial bee colony is a nature-inspired technique that is based on the foraging behaviour of honey bees. ...
Aspects of memes in the context of neural networks, rough sets, artificial bee colony (ABC) and particle swarm optimization are demonstrated in this issue. ...
Artificial bee colony is a nature-inspired technique that is based on the foraging behaviour of honey bees. ...
doi:10.1007/s12293-013-0124-4
fatcat:7hq6nyzcfzaqjckv7gjg5z7o6i
A Novel Data Clustering Algorithm based on Modified Adaptive Particle Swarm Optimization
2016
International Journal of Signal Processing, Image Processing and Pattern Recognition
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On the other hand, the artificial bee colony algorithm has the capability to generate diversity within the swarm when the guide bees are in the exploration mode. ...
We choose to use artificial bee colony algorithm combined with PSO technique to modify the traditional clustering methods due to its fast convergence and the presence of adaptive mechanisms based on the ...
measurement and validation studies (NO. 71403206) and the project supported by the natural science foundation of the Shaanxi province education department: flexible recommendation system based on hybrid strategy ...
doi:10.14257/ijsip.2016.9.3.16
fatcat:5tvewfxojbhkzpm6li4c72cuea
A novel multi-objective optimization algorithm based on artificial bee colony
2011
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation - GECCO '11
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Multi-objective optimization has been a difficult problem and focus for research in fields of science and engineering.This paper presents a novel algorithm based on Artificial Bee Colony (ABC) to deal ...
ABC is one of the most recently introduced algorithms based on the intelligent foraging behavior of a honey bee swarm. ...
CONCLUSION In this paper, we present Multi-Objective Artificial Bee Colony (MOABC) algorithm to solving multi-objective optimization problems. ...
doi:10.1145/2001858.2001917
dblp:conf/gecco/ZouZCS11
fatcat:oofcz3wzjfcddi4edyu3ohx4py
A Hybrid Firefly and Multi-Strategy Artificial Bee Colony Algorithm
2020
International Journal of Computational Intelligence Systems
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A B S T R A C T Many hard optimization problems have been efficiently solved by two notable swarm intelligence algorithms, artificial bee colony (ABC) and firefly algorithm (FA). ...
In this paper, a collaborative hybrid algorithm based on firefly and multi-strategy artificial bee colony, abbreviated as FA-MABC, is proposed for solving single-objective optimization problems. ...
AUTHOR CONTRIBUTIONS Ivona Brajević proposed the main idea of the paper, implemented the algorithm, performed the experiments and wrote the major draft of the paper. Predrag S. ...
doi:10.2991/ijcis.d.200612.001
fatcat:yvgx4uwyyjdldeeafmmzmuoegy
Guest Editorial: Special Issue on Nature Inspired Cooperative Strategies for Optimization (Part I)
2011
Memetic Computing
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Examples of these include, but are not limited to, artificial bee colony, memetic-computing agent-models, bacteria metabolism inspired robot controllers, evolutionary design optimization, particle swarm ...
As in its previous editions, NICSO 2010 has covered topics related to adaptive behavior, ant colonies, amorphous computing, artificial life, bio-inspired architectures, distributed computing, evolutionary ...
Middendorf who present a performance analysis of Artificial Bee Colony (ABC) Optimization where some new selection schemes are also introduced. ...
doi:10.1007/s12293-011-0068-5
fatcat:7ex3j5nsifddjjnfobdefeaq4y
A many-objective artificial bee colony algorithm based on adaptive grid
2021
IEEE Access
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Considering the convergence and diversity at the same time, a many-objective artificial bee colony algorithm based on adaptive grid(MOABCAG) is proposed. ...
INDEX TERMS Many-objective optimization, adaptive grid, artificial bee colony algorithm. ...
Chen [34] redefined the artificial bee colony in the framework of the basic artificial bee colony algorithm, and combined the search strategy of group escape and foraging based on Levy flight. ...
doi:10.1109/access.2021.3093381
fatcat:iqymc7rkjnffpnkqhqf3vrkn6i
A Modified Artificial Bee Colony Algorithm Based on Search Space Division and Disruptive Selection Strategy
2014
Mathematical Problems in Engineering
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Artificial bee colony (ABC) algorithm has attracted much attention and has been applied to many scientific and engineering applications in recent years. ...
And then, a disruptive selection strategy was used to improve population diversity. Moreover, in order to accelerate convergence rate, we changed the definition of the scout bee phase. ...
[13] proposed a memetic algorithm which combined Hooke-Jeeves pattern search with artificial bee colony algorithm. ...
doi:10.1155/2014/432654
fatcat:zeaxlnb4kjc5vhywuc7xvvgfuq
An improved artificial bee colony algorithm for community detection in bipartite networks
2021
IEEE Access
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Firstly, this paper proposed a novel population initialization process of artificial bee colony (ABC) method for two-mode graph cluster identification. ...
In this paper, we propose an improved artificial bee colony algorithm named IABC-BN, which is used to detect the communities in two-mode graphs (i.e. bipartite graphs) with two kinds of vertices in the ...
BASIC ARTIFICIAL BEE COLONY ALGORITHM Through simulating the intelligent finding food behavior of real bees, a new artificial bee colony (ABC) method was presented by Karaboga in 2005 . ...
doi:10.1109/access.2021.3050752
fatcat:eg6nmbm3w5hqhiyncl5u3nxqwm
Binary Artificial Bee Colony Optimization for GENCOs' Profit Maximization under Pool Electricity Market
2014
International Journal of Computer Applications
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Results obtained using the GbBABC algorithm have been compared with those obtained using standard Artificial Bee Colony (ABC) optimization, global best guided ABC (GbABC) and global best distance guided ...
This paper proposes GENCOs' profit maximization using Binary Article Bee Colony Optimization based on global best parameters (GbBABC). ...
OVERVIEW OF THE ARTIFICIAL BEE COLONY OPTIMIZATION The artificial bee colony algorithm is a novel swarm intelligence algorithm and first proposed by Karaboga [11] in 2005. ...
doi:10.5120/15832-4713
fatcat:f2od2ffjgfgvzjx3qi2z2geukm
An Improved Artificial Bee Colony Algorithm for Staged Search
2016
TELKOMNIKA (Telecommunication Computing Electronics and Control)
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It used the PSO search strategy to guide the search for candidate solutions. Wang [7] proposed a novel multi-strategy ensemble ABC algorithm. ...
Also an artificial bee colony algorithm is presented for data collection path planning in sparse wireless sensor networks. ...
order to verify the superiority of this algorithm, we select ESABC (Elite Swarm ABC) algorithm, MABC (Modified Artificial Bee Colony) algorithm, ABCMSS (Artificial Bee Colony Algorithm with Modified Search ...
doi:10.12928/telkomnika.v14i3.3609
fatcat:zl6b3qg6hjfy3acrsncwqjwm6i
Parallel Artificial Bee Colony Algorithm for the Traveling Salesman Problem
2013
Advanced Materials Research
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Artificial Bee Colony Algorithm (ABCA) is a novel swarm intelligence algorithm which a colony of artificial bees cooperate in finding good solutions for numerical optimization problems and combinatorial ...
To dealing with this problem, we present a Parallel Artificial Bee Colony Algorithm (PABCA) in several computers which operation system is Linux based on the Message Passing Interface (MPI). ...
CONCLUSION AND DISCUSSION Artificial bee colony algorithm is a novel heuristic algorithm which excels at searching for a global solution. ...
doi:10.4028/www.scientific.net/amr.756-759.3254
fatcat:egbdrpqj7zcyrf6zvmui3s5mbu
Efficient Energy Load Distribution Model using Modified Particle Swarm Optimization Algorithm
2021
Journal of Artificial Intelligence and Capsule Networks
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Further, a novel interdependence strategy along with a modified PSO algorithm is implemented for balancing the local search capability and global optimization. ...
When compared to existing schemes like artificial bee colony (ABC), genetic algorithms (GAs), and conventional PSO algorithms, the proposed scheme offers lowest electric power generation cost and overcomes ...
The harmonic search, artificial bee colony and ant colony optimization algorithms are combined to form a new framework to address the load dispatch issue [7] . ...
doi:10.36548/jaicn.2020.4.005
fatcat:lkuuvibvyrdm7fbcem27ij47bi
Bco-based Optimized Heuristic Strategies For Qos Routing
2012
Journal of Mathematics and Computer Science
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In this paper, we present a new intelligent routing algorithm QOS using swarm intelligence strategy of bee colony. Swarm intelligence is a relatively novel field. ...
Then by MATLAB software, we compared efficiency function of proposed method based on honey bee with genetic algorithm, other current heuristics in QOS. ...
swarm intelligence algorithm of artificial bee colony which increases convergence and diversity, observing the nature of this colony. ...
doi:10.22436/jmcs.05.02.05
fatcat:qvifpwkbhbe5ndyenwjfzpkrya
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