Titlebook: Advances in Swarm and Computational Intelligence; 6th International Co Ying Tan,Yuhui Shi,Andries Engelbrecht Conference proceedings 2015 S

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Fast Genetic Algorithm for Pick-up Path Optimization in the Large Warehouse Systems proposed for constrained multi-objective optimization problems. The handling of constraint conditions were distributed to the initial population generation and each genetic process. Combine the constraint conditions and objectives, a new partial-order relation was introduced for comparison of indi

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Hemodialysis

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Fuzzy Concepts in Formal Contexthe fuzzy concept in FCA. We propose a fuzzy relation on the universe to characterize the similarity of the objects. Based on fuzzy rough set model, we present a kind of approximation operators to characterize the fuzzy concept and its accuracy degree in FCA. The basic properties of these operators a

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Fuzzy Clustering-Based Quantitative Association Rules Mining in Multidimensional Data SetF-CA) is developed in this paper. The proposed algorithm is based on the superior functionalities of Fuzzy Pattern Fusion (FPF) for mining quantitative association rules and Competitive Agglomeration (CA) for finding the optimal number of clusters. The popular data set of UCI machine learning reposi

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Diskectomy

Technical Indicators for Forex Forecasting: A Preliminary Studyrtificial Intelligence (AI) area of study have been used extensively throughout the years in predicting the trading pattern as it is deemed to be robust enough to handle the uncertainty associated with Forex trading time series data. Herein this paper, the effects of different input types, in partic

PHON

Short Term Load Forecasting Based on Hybrid ANN and PSOSTLF) are to predict future load for the generation scheduling at power stations; assess the security of the power system as well as for timely dispatching of electrical power. The traditional load forecasting tools utilize time series models which extrapolate historical load data to predict the fut

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