Convergence performance comparison of quantum-inspired multi-objective evolutionary algorithms

DOI10.1016/j.camwa.2008.10.046zbMath1186.90105OpenAlexW2047032454MaRDI QIDQ971725

Günter Rudolph, KenLi Li, Zhi-Yong Li

Publication date: 16 May 2010

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.camwa.2008.10.046

zbMATH Keywords

quantum computingmulti-objective evolutionary algorithmsconvergence performancemulti-objective 0/1 Knapsack problems

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Neural networks for/in biological studies, artificial life and related topics (92B20) Additive difference equations (39A10)

Related Items (2)

An adaptive population multi-objective quantum-inspired evolutionary algorithm for multi-objective 0/1 knapsack problems ⋮ Quantum-inspired evolutionary algorithms: a survey and empirical study

Uses Software

• SPEA2

Cites Work

• Unnamed Item

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