Chia-Yu Hsu

Publications

2 Applying Sequential Pattern Mining to Generate Block for Scheduling Problems

Authors: Pei-Chann Chang, Meng-Hui Chen, Chia-Yu Hsu, Chen-Yu Kao

Abstract:

The main idea in this paper is using sequential pattern mining to find the information which is helpful for finding high performance solutions. By combining this information, it is defined as blocks. Using the blocks to generate artificial chromosomes (ACs) could improve the structure of solutions. Estimation of Distribution Algorithms (EDAs) is adapted to solve the combinatorial problems. Nevertheless many of these approaches are advantageous for this application, but only some of them are used to enhance the efficiency of application. Generating ACs uses patterns and EDAs could increase the diversity. According to the experimental result, the algorithm which we proposed has a better performance to solve the permutation flow-shop problems.

Keywords: combinatorial problems, Sequential Pattern Mining, artificial chromosomes, Estimation of Distribution Algorithms

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1 Development of Decision Support System for House Evaluation and Purchasing

Authors: Pei-Chann Chang, Chia-Yu Hsu, Julaimin Goh

Abstract:

Home is important for Chinese people. Because the information regarding the house attributes and surrounding environments is incomplete in most real estate agency, most house buyers are difficult to consider the overall factors effectively and only can search candidates by sorting-based approach. This study aims to develop a decision support system for housing purchasing, in which surrounding facilities of each house are quantified. Then, all considered house factors and customer preferences are incorporated into Simple Multi-Attribute Ranking Technique (SMART) to support the housing evaluation. To evaluate the validity of proposed approach, an empirical study was conducted from a real estate agency. Based on the customer requirement and preferences, the proposed approach can identify better candidate house with consider the overall house attributes and surrounding facilities.

Keywords: Decision Analysis, Real Estate, Smart, Decision Support System, housing evaluation

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Abstracts

1 Applying Sequential Pattern Mining to Generate Block for Scheduling Problems

Authors: Pei-Chann Chang, Meng-Hui Chen, Chia-Yu Hsu, Chen-Yu Kao

Abstract:

The main idea in this paper is using sequential pattern mining to find the information which is helpful for finding high performance solutions. By combining this information, it is defined as blocks. Using the blocks to generate artificial chromosomes (ACs) could improve the structure of solutions. Estimation of Distribution Algorithms (EDAs) is adapted to solve the combinatorial problems. Nevertheless many of these approaches are advantageous for this application, but only some of them are used to enhance the efficiency of application. Generating ACs uses patterns and EDAs could increase the diversity. According to the experimental result, the algorithm which we proposed has a better performance to solve the permutation flow-shop problems.

Keywords: combinatorial problems, Sequential Pattern Mining, estimationof distribution algorithms, artificial chromosomes

Procedia PDF Downloads 354