Comparison of Dynamic Programming and Genetic Algorithm Approaches for Solving Subset Sum Problems-Reference-Cited by-同舟云学术

Comparison of Dynamic Programming and Genetic Algorithm Approaches for Solving Subset Sum Problems

Published:2020 Issue: Volume: Page:472-479
ISSN:2194-5357
Container-title:Computational Vision and Bio-Inspired Computing
language:
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Author:

Saketh Konjeti Harsha,Jeyakumar G.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-37218-7_53

Reference12 articles.

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2. Raju, D.K.A., Shunmuga Velayutham, C.: A study on genetic algorithm based video abstraction system. In: Proceedings of World Congress on Nature Biologically Inspired Computing (2009)

3. Isa, H.A., Oqeili, S., Bani-Ahmad, S.: The subset-sum problem: revisited with an improved approximated solution. Int. J. Comput. Appl. 114, 1–4 (2015)

4. Jain, E., Jain, A., Mankad, S.H.: A new approach to address subset sum problem. IEEE Explorer (2014)

5. Gu, S., Cui, R.: An efficient algorithm for the subset sum problem based on finite-time convergent recurrent neural network. Neuro-Computing 149, 13–21 (2015)

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