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DNA Computing Based Multi-objective Genetic Algorithm

Jili Tao (), Ridong Zhang () and Yong Zhu ()
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Jili Tao: NingboTech University, School of Information Science and Engineering
Ridong Zhang: Hangzhou Dianzi University, The Belt and Road Information Research Institute
Yong Zhu: NingboTech University, School of Information Science and Engineering

Chapter Chapter 4 in DNA Computing Based Genetic Algorithm, 2020, pp 81-100 from Springer

Abstract: Abstract In this chapter, DNA computing based non-dominated sorting genetic algorithm is described for solving the multi-objective optimization problems. First, the inconsistent multi-objective functions are converted into Pareto rank value and density information of solution distribution. Then, the archive is introduced to keep the Pareto front individuals by Pareto sorting, and the maintaining scheme is executed to maintain the evenness of individual distribution in terms of individual crowding measuring.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-15-5403-2_4

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DOI: 10.1007/978-981-15-5403-2_4

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