(1) the complete title of one (or more) paper(s) published in the open literature describing the work that the author claims describes a human-competitive result, 

    "Evolving Dispatching Rules for solving the Flexible Job-Shop Problem"

(2) the name, physical mailing address, e-mail address, and phone number of EACH author of EACH paper, 

    a)	Joc Cing TAY
	Evolutionary and Complex Systems Lab
		     School of Computer Engineering
			    Nanyang Technological University, Singapore 639798
				    Email: asjctay@ntu.edu.sg
					   Phone: (65) 6790 6266

					   b)	  Nhu Binh HO
						  Evolutionary and Complex Systems Lab
							       School of Computer Engineering
								      Nanyang Technological University, Singapore 639798
									      Email: honhubinh@pmail.ntu.edu.sg
										     Phone: (65) 6790 4618

(3) the name of the corresponding author (to whom notices will be sent concerning the competition),

	Joc Cing TAY

(4) the abstract of the paper(s),

We solve the Flexible Job-Shop Problem (FJSP) by using dispatching rules discovered through Genetic Programming (GP). While Simple Priority Rules (SPR) have been widely applied in practice, their efficacy remains poor due to lack of a global view. Composite Dispatching Rules (CDR) have been shown to be more effective as they are constructed through human experience. In this paper, we employ suitable parameter and operator spaces for evolving CDRs using GP, with an aim towards greater scalability and flexibility. Experimental results show that CDRs generated by our GP framework outperforms the SPRs and CDRs selected from literature in 74% to 85% of FJSP problem instances.

(5) a list containing one or more of the eight letters (A, B, C, D, E, F, G, or H) that correspond to the criteria (see above) that the author claims that the work satisfies,	    

      B, D, and E

(6) a statement stating why the result satisfies that criteria (use the examples below as a guide as to possible forms of thi s)

(B) We investigate the potential use of GP for evolving effective composite dispatching rules for solving the FJSP with recirculation, with the objective of minimizing total tardiness. The experimental results show that the evolving dispatching rules outperform five popular dispatching rules selected from literature recently.

(D) The results of this work will be presented at the IEEE Congress on Evolutionary Computation (CEC2005), Edinburgh, Scotland on Sept 2-5th 2005. It will also be published in the conference proceeding.

(E) The results indicate that the evolving dispatching rules generated by our GP framework outperform the best human-made dispatching rule selected from literature from 74% to 85% of FJSP problem instances.


(7) a full citation of the paper (that is, author names; publication date; name of journal, conference, technical report, thesis, book, or book chapter; name of editors, if applicable, of the journal or edited book; publisher name; publisher city; page numbers, if applicable). 

Nhu Binh HO and Joc Cing TAY , to be presented at the IEEE Congress on Evolutionary Computation (CEC 2005), Edinburgh, Scotland, Sept 2-5th, 2005.