Interpretable wrapper-based machine learning framework for predicting patellofemoral pain syndrome using minimal clinical tests. [PDF]
Sannasi R, Kandakurti PK, Stephan T.
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A discrete artificial bee colony algorithm for quadratic assignment problem
Journal of High Speed Networks, 2022The quadratic assignment problem (QAP) is a well-known challenging combinational optimization problem that has received many researchers’ attention with varied real-world and industrial applications areas. Using the framework of basic artificial bee colony algorithm, frequently used crossover and mutation operators, and combined with an effective local
Peng, Zhong-yuan +2 more
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Chaos-driven Discrete Artificial Bee Colony
2014 IEEE Congress on Evolutionary Computation (CEC), 2014In this paper, a chaos driven Discrete Artificial Bee Algorithm is introduced. The main premise of this work is to ascertain if using chaos maps in lieu of standard pseudorandom number generators can improve the performance of the canonical algorithm.
Magdalena Metlicka, Donald Davendra
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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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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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A discrete artificial bee colony for multiple Knapsack problem
International Journal of Reasoning-based Intelligent Systems, 2013Multiple Knapsack problem (MKP) is a most popular multiple subset selection problem that belongs to the class of NP–Complete problems. The aim is to assign optimal subsets among all original items to some knapsacks, such that the overall profit of all selected items be maximised, while the total weight of all assigned items to any knapsack does not ...
Shima Sabet +2 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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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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