NDLI: Adaptive Parallel Genetic Algorithm for Expert Assignment Problem

Content Provider	IEEE Xplore Digital Library
Author	Junqing Li Juping Peng Yingbin Wei
Copyright Year	2013
Description	Author affiliation: Hainan Coll. of Software Technol., Qionghai, China (Junqing Li; Yingbin Wei) \|\| GanSu Normal Univ. For Nat., Hezuo, China (Juping Peng)
Abstract	As an evaluation method, peer review is used in many business fields. The quality of experts appointed will affect the results of the final evaluation since experts' expertise will have a direct impact on evaluation. This paper first analyzes the problem of expert assignment, then researches on its mathematical model and how to get the optimal Pareto, and finally discusses the feasibility of solving the problem of expert assignment through the application of genetic algorithms. It mainly discusses how to solve APGA in the expert assignment process, and then gives out the process of APGA solution to the problem. The test proved that the APGA can effectively solve expert assignment problem. The same time, and random search algorithm and genetic algorithm (SGA) to assign the results of APGA in the convergence speed and search ability has obvious advantages.
Sponsorship	Nanjing Sect. CIS Chapt.
Starting Page	23
Ending Page	26
File Size	173560
Page Count	4
File Format	PDF
ISBN	9780769550794
DOI	10.1109/ISCID.2013.13
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sociology APGA Expert Assignment Problem Educational institutions Encoding Adaptive Parallel Genetic Algorithm Acceleration Statistics Optimization Genetic algorithms
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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