The Ant Colony Optimization Algorithm for Multiobjective Optimization Non-compensation Model Problem Staff Selection

被引:0
|
作者
Tadeusiewicz, Ryszard [1 ]
Lewicki, Arkadiusz [2 ]
机构
[1] AGH Univ Sci & Technol, Krakow, Poland
[2] Univ Informat Technol & Management Rzeszow, Rzeszow, Poland
来源
关键词
ACO; metaheuristics strategy; heuristic decision-making system; task for recruitment and selection of employees;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper describes proposal for the application to modify the Ant Colony Optimization for multiobjective optimization non-compensation model problem staff selection. After analyzing the combinatorial problem involving multicriterial process of recruitment and selection model, it proposed non-compensating its solution using the modified ACO heuristic strategy. This shows that the lack of opportunities to receive appropriate the resulting matrix is related to the accurate prediction of the decision at an acceptable as satisfactory for implementation only available deterministic algorithms.
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页码:44 / 53
页数:10
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