QNSGA-II: A Quantum Computing-Inspired Approach to Multi-Objective Optimization
Author:
Affiliation:
1. Gazi University,Department of Computer Engineering,Ankara,TURKEY
2. Pamukkale University,Department of Computer Engineering,Denizli,TURKEY
3. Hacettepe University,Department of Computer Engineering,Beytepe,Ankara,TURKEY
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9851698/9851699/09851805.pdf?arnumber=9851805
Reference22 articles.
1. Rapid solution of problems by quantum computation;deutsch;Proceedings of the Royal Society of London Series A Mathematical and Physical Sciences,1992
2. Algorithms for quantum computation: discrete logarithms and factoring
3. Quantum Optimization and Quantum Learning: A Survey
4. Link prediction based on quantum-inspired ant colony optimization;cao;Scientific Reports,2018
5. Quantum-inspired ant colony optimisation algorithm for a two-stage permutation flow shop with batch processing machines
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