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A hybrid discrete Artificial Bee Colony - GRASP algorithm for clustering
2009 International Conference on Computers & Industrial Engineering, 2009This paper presents a new hybrid algorithm, which is based on the concepts of the Artificial Bee Colony (ABC) and Greedy Randomized Adaptive Search Procedure (GRASP), for optimally clustering N objects into K clusters. The proposed algorithm is a two phase algorithm which combines an Artificial Bee Colony Optimization algorithm for the solution of the ...
Yannis Marinakis +2 more
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ACM Transactions on Internet Technology, 2021
Parkinson's disease is a neurodegenerative disease that affects millions of people around the world and cannot be cured fundamentally. Automatic identification of early Parkinson's disease on feature data sets is one of the most challenging medical tasks today.
Haolun Li 0001 +6 more
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Parkinson's disease is a neurodegenerative disease that affects millions of people around the world and cannot be cured fundamentally. Automatic identification of early Parkinson's disease on feature data sets is one of the most challenging medical tasks today.
Haolun Li 0001 +6 more
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A Hybrid Discrete Artificial Bee Colony Algorithm for the Multicast Routing Problem
2016In this paper, a new algorithm is proposed for the solution of the Multicast Routing Problem. The algorithm is based on the Artificial Bee Colony approach hybridized with Variable Neighborhood Search. The quality of the algorithm is evaluated with experiments conducted on suitably modified benchmark instances of the Euclidean Traveling Salesman Problem
Yannis Marinakis +2 more
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A Discrete Artificial Bee Colony Algorithm for the Reverse Logistics Location and Routing Problem
International Journal of Information Technology & Decision Making, 2017Reverse logistics (RL) emerges as a hot topic in both research and business with the increasing attention on the collection and recycling of the waste products. Since Location and Routing Problem (LRP) in RL is NP-complete, heuristic algorithms, especially those built upon swarm intelligence, are very popular in this research.
Kun Guo 0003, Qishan Zhang
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A Discrete Artificial Bee Colony Algorithm for RFID Network Scheduling
International Journal of Advancements in Computing Technology, 2012The operation of RFID systems often involves a situation in which multiple readers physically located near one another may interfere with one another's operation. Such reader collision must be minimized to avoid the faulty or miss reads. This paper, therefore, aims to use a successful swarm intelligence technique called artificial bee colony (ABC ...
Weiyi Qi -, Hai Shen -, Hanning Chen -
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Applied Soft Computing, 2021
Abstract With the development of globalization, distributed manufacturing has become one of the main modes of manufacturing. The situation in which a number of heterogeneous factories coproduce a batch of jobs is ubiquitous in the field of distributed manufacturing.
Haoran Li, Xinyu Li 0001, Liang Gao 0001
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Abstract With the development of globalization, distributed manufacturing has become one of the main modes of manufacturing. The situation in which a number of heterogeneous factories coproduce a batch of jobs is ubiquitous in the field of distributed manufacturing.
Haoran Li, Xinyu Li 0001, Liang Gao 0001
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Discrete gbest-guided artificial bee colony algorithm for cloud service composition
Applied Intelligence, 2014The widespread application of cloud computing creates massive application services on the Internet, which is a new challenge for the models and algorithms of cloud service composition. This paper proposes a new method for cloud service composition.
Ying Huo +4 more
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A new approach to minimum attribute reduction based on discrete artificial bee colony
Soft Computing, 2014The minimum attribute reduction problem in the context of rough set theory is an NP-hard nonlinearly constrained combinatorial optimization problem. In this paper, we propose an efficient and competitive combinatorial artificial bee colony algorithm for solving the minimum attribute reduction problem.
Dongyi Ye, Zhaojiong Chen
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