batalgorithm多目标蝙蝠objectivemultiobjective arXiv:1203.6571v1[math.OC]29Mar2012BatAlgorithmforMulti-objectiveOptimisationXin-SheYangDepartmentofEngineering,UniversityofCambridge,TrumpingtonStreet,CambridgeCB21PZ,UK.NewAddress:MathematicsandScientificComputing,NationalPhysicalLaboratory,TeddingtonTW110LW,UK.AbstractEn...
This paper deals with association rule mining issue in which we propose Multi-Objective Bat algorithm for association rules mining Known as MOB-ARM. With the aim of extract more useful and understandable rules. We introduce four quality measures of association rules: Support, Confidence, ...
Bat algorithmCommunity detectionDynamic networkMean shiftModularity densityMany evolutionary algorithms have been proposed to deal with the problem of community detection in social dynamic networks. Some algorithms need to fix parameters in advance; others use a random pr......
A multi-objective bat algorithm with a novel competitive mechanism and its application in controller tuning 2021, Engineering Applications of Artificial Intelligence Citation Excerpt : Given the excellent global optimization capabilities and easy implementation, the decomposition-based MOBA undoubtedly provides ...
MOHBA:multi-objective workflow scheduling in cloud computing using hybrid BAT algorithm This paper proposes a new multi-objective optimization algorithm that combines the Heterogeneous Earliest Finish Time and BAT algorithm to optimize multiple ... S Sobhanayak - 《Computing Archives for Informatics & ...
This paper proposes a new multiobjective self-adaptive learning bat-inspired algorithm to solve practical reserve constrained dynamic environmental/economic dispatch that considers realistic constraints such as valve-point effects, transmission losses, and ramp rate limits over a short-term time period. Fu...
To handle this problem, a new multi-objective optimization approach named improved chaotic bat algorithm (ICBA) is proposed in this paper. In ICBA, chaos theory is used to generate initial population and update pulse emission rate to improve population diversity. The self-adaptive loudness update ...
Multi-objective Binary Bat Algorithm (MOBBA) [6] is used for feature selection with multiple objectives such as precision, accuracy, false alarm rate, detection rate, specificity, and sensitivity. High precision is equivalent to accuracy and detection rate. The study states that the number of feat...
X.S. Yang Bat algorithm for multi-objective optimisation International Journal of Bio-Inspired Computation, 3 (5) (2011), pp. 267-274 CrossrefView in ScopusGoogle Scholar Yang, 2013 X.S. Yang Multiobjective firefly algorithm for continuous optimization Engineering with Computers, 29 (2) (2013...
Bat Algorithm for Multi-objective Optimisation Engineering optimization is typically multiobjective and multidisciplinary with complex constraints, and the solution of such complex problems requires eff... XS Yang - International Journal of Bio-Inspired Computation 被引量: 574发表: 2012年 Multiobjective cu...