DNA Double-Helix and SQP Hybrid 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 3 in DNA Computing Based Genetic Algorithm, 2020, pp 57-79 from Springer

Abstract: Abstract By utilizing the global exploration of GA and local exploitation characteristics of sequential quadratic programming (SQP), a hybrid genetic algorithm (HGA) is proposed in this chapter for the highly nonlinear constrained functions. Thereafter, the theoretical analysis for the convergence of the HGA is then made. In the global exploration phase, the Hamming cliff problem is solved by DNA double-helix structure, and DNA computing inspired operators are introduced to improve the global searching capability of GA.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-15-5403-2_3

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DOI: 10.1007/978-981-15-5403-2_3

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