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	1. A Modified Shifting Bottleneck Procedure for Job Shop Scheduling
	Zhi Huang
	Computer Science and Technology 12 December 2005
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	Abstract:In this paper, the job shop scheduling problem with the objective to minimize the makespan is discussed. The theorem, which guarantees the shifting bottleneck procedure (SB) with Schrage one-machine sequencing algorithm always obtains the feasible solution for any instance, is concisely proven. A counterexample is given to show that SB with Carlier’s one-machine sequencing algorithm could get the infeasible solution. By the way, we also point out a mistake made in the Carlier’s theorem which Carlier’s algorithm is based on, and complete it by some modifications. In order to overcome the infeasibility weakness of SB and expect better performance, a modified shifting bottleneck procedure (MSB) for job shop scheduling is proposed. The theorem, which ensures MSB get the feasible solution for any instance of the problem, is testified. MSB is tested on a group of benchmark instances. The computational experiment shows that MSB get better solutions than SB.
	TO cite this article:Zhi Huang. A Modified Shifting Bottleneck Procedure for Job Shop Scheduling[OL].[12 December 2005] http://en.paper.edu.cn/en_releasepaper/content/4260


	2. Equivalence of Classification and Regression under Support Vector Machine Theory
	Chunguo Wu,Yanchun Liang
	Computer Science and Technology 17 June 2005
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	Abstract:This paper proposes a novel classification method based on regression. Thereafter, the equivalence of the classification and regression is demonstrated by using numerical experiments. The proposed regression-based classification method can differentiate all samples belonging to different categories concurrently.
	TO cite this article:Chunguo Wu,Yanchun Liang. Equivalence of Classification and Regression under Support Vector Machine Theory[OL].[17 June 2005] http://en.paper.edu.cn/en_releasepaper/content/2223

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