Results 151 to 160 of about 5,089 (182)

Lbest Gbest Artificial Bee Colony algorithm

2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2016
Artificial Bee Colony (ABC) algorithm is the most popular add-on to class of swarm intelligence based meta-heuristic which is evolved to resolve the complex real world optimization problems. Most of the swarm intelligence based algorithms face the problem of stagnation, and premature convergence and ABC is not an exception.
Harish Dutt Sharma, Sonal Sharma, Sandeep Kumar 0001   +2 more
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Lévy flight artificial bee colony algorithm

International Journal of Systems Science, 2015
Artificial bee colony ABC optimisation algorithm is a relatively simple and recent population-based probabilistic approach for global optimisation. The solution search equation of ABC is significantly influenced by a random quantity which helps in exploration at the cost of exploitation of the search space.
Harish Sharma, Jagdish Chand Bansal, K. V. Arya, Xin-She Yang 0001   +3 more
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A hybrid approach to artificial bee colony algorithm

Neural Computing and Applications, 2015
In this paper, we put forward a hybrid approach based on the life cycle for the artificial bee colony algorithm to generate dynamical varying population as well as ensure appropriate balance between exploration and exploitation. The bee life-cycle model is firstly constructed, which means that each individual can reproduce or die dynamically throughout
Lianbo Ma, Yunlong Zhu, Dingyi Zhang, Ben Niu 0002   +3 more
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Simplify the Basic Artificial Bee Colony Algorithm

2015 IEEE International Conference on Systems, Man, and Cybernetics, 2015
We consider the problem of simplifying the artificial bee colony (ABC) algorithm and study the mechanism that actually contributes to its outstanding performance. Based on the collective behaviors of honey bee colony, ABC algorithm is one of the most effective algorithms solving numeric optimization problem.
He Zheng, Gang Yang 0001, Junyan Yi, Zheng Yuan, Xiaowei Liu, Meng Shuai   +5 more
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Artificial bee colony algorithm with accelerating convergence

International Journal of Wireless and Mobile Computing, 2016
To overcome the drawbacks of Artificial Bee Colony ABC algorithm, which converges slowly in the process of searching and easily suffers from premature, this paper presents an effective approach, called ABC with accelerating convergence AC-ABC. In the process of evolution, first, the employed bee's position is regarded as the general centre position ...
Li Lv, Longzhe Han, Tanghuai Fan, Jia Zhao 0001   +3 more
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A cooperative approach to The Artificial Bee Colony algorithm

IEEE Congress on Evolutionary Computation, 2010
The Artificial Bee Colony (ABC) algorithm is a powerful continuous optimization tool that has been proposed in the past few years. Many studies have shown the ABC superiority in terms of performance when compared to other well-known optimization algorithms.
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Improved Discrete Artificial Bee Colony Algorithm

2020
Grain is an important economic and strategic material of the country. In grain transportation, it is necessary to consider the running time, vehicle number, path length and other factors at the same time, which is a typical multi-objective problem, but also a NP-Hard problem.
Wanying Liang, Shuo Liu, Kang Zhou 0005, Shiji Fan, Xuechun Shang, Yanzi Yang   +5 more
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Enhancing the food locations in an artificial bee colony algorithm

Soft Computing, 2011
Artificial Bee Colony or ABC is one of the newest additions to the class of population based Nature Inspired Algorithms (NIA). In the present study we suggest some modifications in the structure of basic ABC to further improve its performance. The corresponding algorithm proposed in the present study is named Intermediate ABC (I-ABC).
Tarun Kumar Sharma, Millie Pant
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Parallel artificial bee colony (PABC) algorithm

2009 World Congress on Nature & Biologically Inspired Computing (NaBIC), 2009
The artificial bee colony (ABC) algorithm is a metaheuristic algorithm for numerical optimization. It is based on the intelligent foraging behavior of honey bees. This paper presents a parallel version of the algorithm for shared memory architectures. The entire colony of bees is divided equally among the available processors.
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Hybrid Bat Algorithm with Artificial Bee Colony

2014
In this paper, a hybrid between Bat algorithm (BA) and Artificial Bee Colony (ABC) with a communication strategy is proposed for solving numerical optimization problems. The several worst individual of Bats in BA will be replaced with the better artificial agents in ABC algorithm after running every Ri iterations, and on the contrary, the poorer agents
Trong-The Nguyen, Jeng-Shyang Pan 0001, Thi-Kien Dao, Mu-Yi Kuo, Mong-Fong Horng   +4 more
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