NDLI: Application Research on the Simulated Annealing in Balance Optimization of Multi-Resource Network Planning

Content Provider	IEEE Xplore Digital Library
Author	Nansheng Pang Yuan You Yingling Shi
Copyright Year	2008
Description	Author affiliation: Coll. of Bus. Manage., North China Electr. Power Univ., Beijing (Nansheng Pang; Yuan You; Yingling Shi)
Abstract	The resource mean square deviation of network planning is selected to measure the balance of resource. By setting the mean square deviation of resources to objective functions, and by the 2-norm is being introduced into the objective space, a function used for evaluating the balance optimization of multi-resource network planning is established, so the issue of multi-objective optimization is transferred into a single objective optimization. The global optimal solution of an evaluation function can be found from the perspective of probability by applying simulated annealing with the help of random searching technique. The simulated annealing is an effective global optimization algorithm which is verified by an example. It overcomes those defects of traditional algorithms which are over dependent on the initial solution and are inclined to be involved in local optimal solution, so the optimal and satisfied plan can be found out in balance optimization of multi-resource network planning by applying the simulated annealing.
Starting Page	113
Ending Page	117
File Size	347731
Page Count	5
File Format	PDF
ISBN	9780769534978
DOI	10.1109/IITA.2008.509
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	simulated annealing Optimization methods Educational institutions Technology planning global optimal solution Information technology multi-resource network planning Thermodynamics Intelligent networks Simulated annealing Temperature control Resource management Energy management balance optimization
Content Type	Text
Resource Type	Article

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