Abstract The process of complicated products design has the characters of high complexity, long period and various requirement of resource. So a reasonable resource scheduling scheme has great significance to the design of complicated product, so as to shortening product development cycles and reducing the cost of product. Firstly, design task collaboration and scheduling features in three complicate product design process modes are discussed... The process of complicated products design has the characters of high complexity, long period and various requirement of resource. So a reasonable resource scheduling scheme has great significance to the design of complicated product, so as to shortening product development cycles and reducing the cost of product. Firstly, design task collaboration and scheduling features in three complicate product design process modes are discussed in terms of research results of collaboration design and Integration Design Environment (IDE). Secondly, Virtual Design Unit (VDU) is adopted to be taken as the basic task execute unit, where VDU design is a complex product design. Furthermore, Design Task Scheduling Approach based Design Ability (DTSADA) is stated clearly by combining ACO and GA.. Finally, a design task scheduling case is demonstrated to validate the proposed approach. Read More Read Less

Abstract In the modern world, human is daily involved in many decision-makings in diverse markets, and any suggestion which can improve accuracy of decisions or reduce the decision making time is attractive and valuable. One of the developing markets in which advantages of decision support systems are very evident and it is monetary in the capital markets including the stock market. Actors... In the modern world, human is daily involved in many decision-makings in diverse markets, and any suggestion which can improve accuracy of decisions or reduce the decision making time is attractive and valuable. One of the developing markets in which advantages of decision support systems are very evident and it is monetary in the capital markets including the stock market. Actors of this market purchase shares of companies and thereby make a profit or loss by accepting future share risk. This study collected data from the Tehran Stock Exchange database; then, main features of data were extracted by using wavelet transform method and applied as inputs for prediction to multilevel perceptron neural network trained by frog leaping algorithm. The results were compared with radial basis function neural network trained with frog leaping algorithms. Read More Read Less

Abstract The Self Organizing Map is widely used in classification, vector quantization etc. In SOM, a winner is identified for each input data and weights of winners and its neighborhood are updated. Using the conventional SOM approach, the learning process is influenced by noisy data and as result degradation in learning efficiency. A new approach called Noisy Data SOM (NDSOM) is proposed to identify... The Self Organizing Map is widely used in classification, vector quantization etc. In SOM, a winner is identified for each input data and weights of winners and its neighborhood are updated. Using the conventional SOM approach, the learning process is influenced by noisy data and as result degradation in learning efficiency. A new approach called Noisy Data SOM (NDSOM) is proposed to identify clusters efficiently using some additional states in the learning process. These additional states control the weight updating process of SOM according to available noise in the input data. The proposed SOM and conventional SOM behavior experiments on various input dataset having noise also. After the study of simulation results, we can conclude that the proposed SOM successfully extracts the cluster and gives better results. Also the proposed SOM preserves the input topology in a better manner with more neuron utilizations. Read More Read Less