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pro vyhledávání: '"Kay Chen Tan"'
Publikováno v:
IEEE Computational Intelligence Magazine. 16:22-33
The evolutionary algorithm (EA) is a nature-inspired population-based search method that works on Darwinian principles of natural selection. Due to its strong search capability and simplicity of implementation, EA has been successfully applied to sol
A remarkable facet of the human brain is its ability to manage multiple tasks with apparent simultaneity. Knowledge learned from one task can then be used to enhance problem-solving in other related tasks. In machine learning, the idea of leveraging
Publikováno v:
Soft Computing. 22:3997-4012
Multi-objective evolutionary algorithm based on decomposition (MOEA/D) is a recently proposed algorithm which is a research focus in the field of multi-objective evolutionary optimization. It decomposes a multi-objective problem into subproblems by m
Publikováno v:
IEEE Transactions on Emerging Topics in Computational Intelligence. 1:87-96
In this paper, we propose a simple and efficient approach for microstructure defect detection of Ti-6Al-4V titanium alloy based on image analysis. The proposed approach mimics the way that domain experts identify the defect area, by segmenting materi
Autor:
Gary G. Yen, Kay Chen Tan
Publikováno v:
IEEE Computational Intelligence Magazine. 12:9-12
Publikováno v:
Soft Computing. 20:3443-3453
Vehicle routing problem with stochastic demands (VRPSD) is a famous and challenging optimization problem which is similar to many real world problems. To resemble the real world scenario, total traveling distance, total driver remuneration, the numbe
Publikováno v:
Soft Computing. 20:1289-1304
Current approaches for blind source separation, such as independent component analysis (ICA), implicitly assume that the number of collected signals equals the number of sources. This assumption does not hold true in many real-world applications as i
Publikováno v:
Soft Computing. 19:3249-3259
There are several studies on hybrid multi-operator recombination methods, while few works have been proposed in the area of combining different fitness assignment in a framework. On the other hand, it is known that fitness assignment has a marked imp
Autor:
Kay Chen Tan
Publikováno v:
IEEE Computational Intelligence Magazine. 6:2-10
The mimicking of human intelligence towards the betterment of the society has always been a part of my dream since young. Till this day, on every visit to the hospital, I would often imagine the possibilities of applying my knowledge in Computational
Autor:
Kay Chen Tan
Publikováno v:
IEEE Computational Intelligence Magazine. 5:2-6
I have recently returned from the US after attending the 2010 IEEE Panel of Editors (PoE) meeting at New Brunswick. On the 18-hour flight back home, I was thinking if the courteous stewardesses could one day be replaced by intelligent robots serving