NDLI: GA's arithmetic on time-cost optimization in architecture engineering

Content Provider	IEEE Xplore Digital Library
Author	Lv Shu Ping Tian Zhenjie
Copyright Year	2011
Description	Author affiliation: College of Automation, Harbin Engineering University, Heilongjiang Province, China (Lv Shu Ping; Tian Zhenjie)
Abstract	In the analysis of basic optimization method of multi-objective GA, papers was proposed on the improved GA of weights that was based on an improved elitist preservation strategy. Firstly, The algorithm combined improved strategy of the (μ + λ) evolution with GA that is based on weights coefficients. Secondly, it continuously detected the population size and restarted some groups. So they could ensure the diversity of both the population and the search direction, thus ensuring the search results of the Pareto values. Simulation results had demonstrated that the improved GA and MPP model had the effectiveness and feasibility in network planning cost and schedule optimization. In order to address the existence problems that improved algorithm was running slow, we had combined the Niched-Pareto with improved algorithm. Then the result was presenting a hybrid algorithm. The simulation showed that this hybrid algorithm had certain advantages in the search effectiveness and efficiency.
Starting Page	3293
Ending Page	3296
File Size	416663
Page Count	4
File Format	PDF
ISBN	9781424480364
e-ISBN	9781424480395
DOI	10.1109/ICEICE.2011.5777802
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-04-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Industries Presses Evolutionary computation GA Architecture engineering MPP Time-cost optimization Optimization Convergence
Content Type	Text
Resource Type	Article

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