Presentation | 2001/1/26 A Method of Multi-Objective Optimization for the Flow-type Jobs by using the Genetic Programming Chen Xiaorong, Shozo TOKINAGA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This report deals with a method of multi-objective optimization for flow-type jobs by using the genetic programming.In this method, a workflow is represented by an individual(string)to which the genetic operation is applied.The optimization is carried out by applying the crossover operation and the mutation operation to these individuals.In the evaluation function of the optimization, we use the total cost of the workflow, and the total waiting time of the job, and the comprehensive reliability that is provided by the workflow corresponding to an individual.By applying the method to the example of optimization of workflow including database access, we obtain best solution after 600 generations of GP operation. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Workflow management / Genetic programming / multi-objective optimization |
Paper # | NLP2000-140 |
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Committee | NLP |
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Conference Date | 2001/1/26(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Nonlinear Problems (NLP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Method of Multi-Objective Optimization for the Flow-type Jobs by using the Genetic Programming |
Sub Title (in English) | |
Keyword(1) | Workflow management |
Keyword(2) | Genetic programming |
Keyword(3) | multi-objective optimization |
1st Author's Name | Chen Xiaorong |
1st Author's Affiliation | Department of Economic Engineering, Graduate School of Economics, Kyushu University() |
2nd Author's Name | Shozo TOKINAGA |
2nd Author's Affiliation | Department of Economic Engineering, Graduate School of Economics, Kyushu University |
Date | 2001/1/26 |
Paper # | NLP2000-140 |
Volume (vol) | vol.100 |
Number (no) | 609 |
Page | pp.pp.- |
#Pages | 8 |
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