NDLI: Genetic computing for the film copy deliverer problem

Content Provider	IEEE Xplore Digital Library
Author	Lei Zhang Weimin Zheng
Copyright Year	1995
Description	Author affiliation: Sch. of Econ. & Manage., Tsinghua Univ., Beijing, China (Lei Zhang; Weimin Zheng)
Abstract	This paper studies the possibility and efficiency of applying genetic algorithms to the film copy deliverer problem which is a new combinatorial network model proposed by M. Gen et al (1993) and reformulated by L. Zhang and W.M. Zheng (1994). The problem belonging to NP-hard class is of both general meaning in theory and rather transparent background in engineering. A permutation-based genetic algorithm is devised to compute heuristic (including optimal) solutions of the problem and it provides, essentially, a general architecture open to many genetic crossover and mutation operators. The experiment simulations have primarily shown that the architecture enables some crossover operators such as PMX, CX and OX to produce feasible solutions, and contained the comparison of those operators during which two ways of mutations matched to the crossovers are considered.
Starting Page	1067
Ending Page	1073
File Size	938716
Page Count	7
File Format	PDF
ISBN	0780325591
DOI	10.1109/ICSMC.1995.537911
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-10-22
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Genetic algorithms Genetic mutations Motion pictures Computer architecture Traveling salesman problems Computer network management Computational modeling Biological cells Polynomials Heuristic algorithms
Content Type	Text
Resource Type	Article

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