JDart-Hea: Hybrid Evolutionary Algorithm in Dynamic Symbolic Execution-Reference-Cited by-同舟云学术

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JDart-Hea: Hybrid Evolutionary Algorithm in Dynamic Symbolic Execution

Published:2023-07-08 Issue: Volume: Page:
ISSN:
Container-title:2023 8th International Conference on Signal and Image Processing (ICSIP)
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Author:

Wu Zihao¹,Liu Yuxuan¹,Qin Zhongyuan¹,Sun Xin²,Wang Wen³

Affiliation:

1. Southeast University,School of Cyber Science and Engineering,Nanjing,China,211189

2. State Grid Zhejiang Electric Power Co., Ltd. Research Institute,Internet Technology Center,Hangzhou,China,310063

3. State Grid Zhejiang Electric Power Co., Ltd.,Internet Department,Hangzhou,China,310063

Funder

Science and Technology Project of State Grid

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10269795/10270814/10270914.pdf?arnumber=10270914

Reference16 articles.

1. The Local Branching as a Learning Strategy in the Evolutionary Algorithm: The Case of the Set-Union Knapsack Problem

2. Effects of Noisy Multiobjective Test Functions Applied to Evolutionary Optimization Algorithms

3. Algorithms for constraint-satisfaction problems: A survey;kumar;AI Magazine,1992

4. Variations on memetic algorithms for graph coloring problems

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