Browse Proceedings

This paper presents binary particle swarm optimization (BPSO) for finding an optimum conflict-free transmission schedule for a broadcast radio network. This is known as Broadcast Scheduling Problem (BSP) and shown as an NP-complete problem in earlier ...

This paper presents a modified bee colony optimization (BCO) by pattern reduction to reduce the computation time, called BCOPR. Although BCO was robustness optimization, but likes the other algorithm for solving optimization problem, BCO has many ...

The Particle Swarm Optimizer (PSO) is such a complex stochastic process so that analysis on the stochastic behavior of the PSO is not easy. As far as our investigation, most of the relevant researches are based on computer simulations and seldom of them ...

Quadratic assignment problem (QAP) is a hard and classical combinatorial optimization problem. Simulated annealing algorithm has been successfully applied to solve QAP. However, the search of simulated annealing algorithm might usually get stuck with ...

In this paper, we consider the scheduling problems with redundant-molds issue. We will heuristically solve the scheduling problem with tasks needing an arbitrary mold in its specified set of mold types to be performed while the number of each mold type ...

In this paper, we introduce a hybrid approach of particle swarm optimization (PSO) for solving n-queens problem. Since the solution of n-queens problem is to create a set of non-conflict queens, we propose a swarm refinement technique to reduce ...

This paper applies fuzzy cluster analysis to investigate co movement of Asian and U.S. stock prices from the viewpoints of both region and industry. Specifically, we analyze daily stock price data of Chinese, Indian, Japanese, South Korean, and U.S. ...

The self-organizing map (SOM) model is a well-known neural network model with wide spread of applications. The main characteristics of SOM are two-fold, namely dimension reduction and topology preservation. Using SOM, a high-dimensional data space will ...

The fast updated frequent pattern tree (FUFP-tree) is an efficient data structure for association-rule mining. Hong et al. (2009) proposed an approach for the maintenance of the FUFP-tree structure after the deletion of transactions. However, all ...

The inter-sequence pattern (ISP) mining method can be used to mine sequential patterns inside a transaction and inter-transaction patterns in several transactions. Consequently, the ISP mining method is more general than two traditional sequence mining ...

Handling missing data is widely studied to make proper replacement and reduce uncertainty of data. Several approaches have been proposed for providing the most possible results. However, few studies provide solutions to the problem of missing data in ...

This paper presents a new method for handling the fuzzy clustering problems of which the characteristic values and weights of the indices are generalized fuzzy numbers. The proposed mechanism is based on the fuzzy-number similarity measure. First, the ...

This paper introduces the Open filer operation system to setup a network storage environment, and to build five different private small-cloud computing servers (PSCCS). Then by using the iSCSI storage technique through the TCP/IP protocol to explore the ...

Stock selection has long been recognized as an important task in finance. Researchers and practitioners in this area often use regression models to tackle this problem due to their simplicity and effectiveness. Recent advances in machine learning (ML) ...

This paper extends the previous EOQ models with two-level trade credit to reflect the real-life situations by incorporating the following concepts: (1) the supplier offers the retailer an up-stream trade credit linked to order quantity, and (2) the ...

This paper proposes a new technique using discrete wavelet transform (DWT) and support vector machines (SVM) to classify the fault types in underground distribution systems. The DWT is used to detect the high frequency components from fault signals. ...

This paper proposes a technique using discrete wavelet transform (DWT) and support vector machines (SVM) for fault location in underground distribution cable. The ATP/EMTP is used to simulate fault signals. The mother wavelet daubechies4 (db4) is ...

This paper presents an analysis of characteristics for simultaneous fault signals in a 500-kV electrical power transmission system using wavelet transform. Such fault signals can occur in the transmission system, and have an effect to the operation of ...

This study presents a simple, fast, accurate, and expandable algorithm with very few parameters for solving global optimization problem of continuous multimodal functions V a calculation unit called cell based on Genetic Algorithm and Particle Swarm is ...

Modern compilers usually provide a large number of optimization options to aid users to fine tune their programs for the best performance. However, applying such optimization options involves complex knowledge about compiler optimization, so most users ...

In this paper, the multi-mode resource-constrained project scheduling problem (MRCPSP) is considered. The MRCPSP is extremely complex and is known to be NP-hard problem. In order to obtain satisfactory sub optimal solutions within a reasonable amount of ...

Lifetime extension is a key issue of WSNs. The WSN lifetime can be extended K times if the number K of disjoint covers are found. Under the energy condition, another consideration is load balancing for covers to sense targets and transmit data to base ...

This paper explores the design of robust stable digital filter by applying the Improved Genetic algorithm (IGA). We first derive a robust stability criterion which will be used to ensure the-stability of the digital filter in the evolution of IGA. The ...

This paper proposes a bio-inspired particle swarm optimization algorithm that incorporates random walk for local search techniques in the non-dominated sorting Particle Swarm Optimization (PSO) algorithm in addition to the mechanism of crowding distance,...

Most sleep management systems lack reliable assessment of sleep quality and receive single information source only. In this paper, we proposed a sleep quality assessment mechanism based on the physiological sleep pattern with scenarios of multiple data ...