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A Mutual-Evaluation Genetic Algorithm for Numerical and Routing Optimization
Joint Authors
Source
Journal of Applied Mathematics
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-09-01
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Many real-world problems can be formulated as numerical optimization with certain objective functions.
However, these objective functions often contain numerous local optima, which could trap an algorithm from moving toward the desired global solution.
To improve the search efficiency of traditional genetic algorithms, this paper presents a mutual-evaluation genetic algorithm (MEGA).
A novel mutual-evaluation approach is employed so that the merit of selected genes in a chromosome can be determined by comparing the fitness changes before and after interchanging with those in the mating chromosome.
According to the determined genome merit, a therapy crossover can generate effective schemata to explore the solution space efficiently.
The computational experiments for twelve numerical problems show that the MEGA can find near optimal solutions in all test benchmarks and achieve solutions with higher accuracy than those obtained by eight existing algorithms.
This study also uses the MEGA to find optimal flow-allocation strategies for multipath-routing problems.
Experiments on quality-of-service routing scenarios show that the MEGA can deal with these constrained routing problems effectively and efficiently.
Therefore, the MEGA not only can reduce the effort of function analysis but also can deal with a wide spectrum of real-world problems.
American Psychological Association (APA)
Lin, Chih-Hao& He, Jiun-De. 2013. A Mutual-Evaluation Genetic Algorithm for Numerical and Routing Optimization. Journal of Applied Mathematics،Vol. 2013, no. 2013, pp.1-14.
https://search.emarefa.net/detail/BIM-455153
Modern Language Association (MLA)
Lin, Chih-Hao& He, Jiun-De. A Mutual-Evaluation Genetic Algorithm for Numerical and Routing Optimization. Journal of Applied Mathematics No. 2013 (2013), pp.1-14.
https://search.emarefa.net/detail/BIM-455153
American Medical Association (AMA)
Lin, Chih-Hao& He, Jiun-De. A Mutual-Evaluation Genetic Algorithm for Numerical and Routing Optimization. Journal of Applied Mathematics. 2013. Vol. 2013, no. 2013, pp.1-14.
https://search.emarefa.net/detail/BIM-455153
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-455153