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SEAL
1998
Springer

Information Operator Scheduling by Genetic Algorithms

10 years 7 months ago
Information Operator Scheduling by Genetic Algorithms
Abstract. In this paper, we discuss an approach to an operator scheduling problem in a large organization over time with the aim of maintaining service quality and reducing total labor costs. We propose a genetic algorithm (GA) with a parameterized fitness function inspired by homotopy methods and with null mutation to handle a variable number of operators. The proposed method is applied to the practical problem of scheduling operators in a telephone information center. Experimental results show that the proposed method performs consistently better than a GA method previously developed.
Takeshi Yamada, Kazuyuki Yoshimura, Ryohei Nakano
Added 06 Aug 2010
Updated 06 Aug 2010
Type Conference
Year 1998
Where SEAL
Authors Takeshi Yamada, Kazuyuki Yoshimura, Ryohei Nakano
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