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IEEE Transactions on Cybernetics, 2021
Disassembly lines are the most effective way to address large-scale value recovery from end-of-life (EOL) products. Disassembly line balancing (DLB) greatly affects the economics and throughput of EOL product processing. Complete disassembly is generally
Kaipu Wang +4 more
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Disassembly lines are the most effective way to address large-scale value recovery from end-of-life (EOL) products. Disassembly line balancing (DLB) greatly affects the economics and throughput of EOL product processing. Complete disassembly is generally
Kaipu Wang +4 more
semanticscholar +1 more source
A Discrete Artificial Bees Colony Inspired Biclustering Algorithm
International Journal of Swarm Intelligence Research, 2012Biclustering methods are the potential data mining technique that has been suggested to identify local patterns in the data. Biclustering algorithms are used for mining the web usage data which can determine a group of users which are correlated under a subset of pages of a web site.
R. Rathipriya, K. Thangavel
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International Journal of Production Research, 2020
With the development of global and decentralised economies, distributed production emerges in large manufacturing firms. A distributed production model exists with hybrid flowshops.
Yingli Li +6 more
semanticscholar +1 more source
With the development of global and decentralised economies, distributed production emerges in large manufacturing firms. A distributed production model exists with hybrid flowshops.
Yingli Li +6 more
semanticscholar +1 more source
Chinese Control and Decision Conference, 2023
Steelmaking-continuous casting (SCC) is the core link of the whole process of steel production. Therefore, this paper investigates a real-world hybrid flowshop scheduling problem in steelmaking process, in which the sojourn time, the earliness/tardiness ...
Guodong Yang +5 more
semanticscholar +1 more source
Steelmaking-continuous casting (SCC) is the core link of the whole process of steel production. Therefore, this paper investigates a real-world hybrid flowshop scheduling problem in steelmaking process, in which the sojourn time, the earliness/tardiness ...
Guodong Yang +5 more
semanticscholar +1 more source
Alignment of biological sequences by discrete Artificial Bee Colony algorithm
2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015Multiple Sequence Alignment (MSA) problem based on aligning three or more biological sequences by considering the maximization of similarity is one of the most important problem in bioinformatics. In this paper, a new Artificial Bee Colony (ABC) algorithm inspired by the intelligent foraging behavior of honey bees is proposed to generate optimum ...
ASLAN, SELÇUK, ÖZTÜRK , CELAL
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Improved Discrete Artificial Bee Colony Algorithm
2020Grain 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 +5 more
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Discrete Artificial Bee Colony Algorithm based Optical Character Recognition
2017 14th IEEE India Council International Conference (INDICON), 2017Recognizing and processing documents, especially historical manuscripts, has been a challenge owing to the difficulty in identifying cursive handwritten characters. This paper presents a simple technique for Optical Character Recognition based on Swarm intelligence to extract textual information from printed or handwritten documents.
Nishal Ancelette Pereira +3 more
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Chaotic Artificial Bee Colony Hybrid Discrete Constrained Optimization Algorithm
Journal of Convergence Information Technology, 2012Swarm intelligence is a research branch that models the population of interacting agents or swarms that are able to self-organize. An ant colony, a flock of birds or an immune system is a typical example of a swarm system. Bees’ swarming around their hive is another example of swarm intelligence.
Youxin LUO - +2 more
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Solving Energy Routing Problem in Energy Internet Using a Discrete Artificial Bee Colony Algorithm
International Conference on Wireless Communications and Mobile Computing, 2022Due to the large-scale and unequal distribution of energy resources, it has become common for numerous power system elements such as producers, consumers, microgrids, and so on to be interconnected in a network structure via energy routers (ER), referred
S. Hebal, S. Harous, D. Mechta
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Discrete artificial bee colony algorithm for solving network reconfiguration problem
3rd IET International Conference on Clean Energy and Technology (CEAT) 2014, 2014Network Reconfiguration is one of the key tools in planning and operation of medium voltage distribution system. Network reconfiguration problem differs from other power system problems (including optimum DG placement or shunt capacitor bank placement in radial distribution system). In network reconfiguration problem, tie switches represent the integer
M.M. Aman +4 more
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