Improved quantum-inspired evolutionary algorithm for engineering design optimization

DOI10.1155/2012/836597zbMath1264.90206OpenAlexW1996831027WikidataQ58912167 ScholiaQ58912167MaRDI QIDQ1955250

Jinn-Tsong Tsai, Jyh-Horng Chou, Wen-Hsien Ho

Publication date: 11 June 2013

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2012/836597

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (1)

Improving performance of evolutionary algorithms with application to fuzzy control of truck backer-upper system

Uses Software

• ANSYS
• SPSS
• Genocop
• APDL

Cites Work

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• A study on the use of non-parametric tests for analyzing the evolutionary algorithms' behaviour: a case study on the CEC'2005 special session on real parameter optimization
• Test examples for nonlinear programming codes
• An evolutionary programming approach to mixed-variable optimization problems
• Hybrid genetic algorithm based on quantum computing for numerical optimization and parameter estimation
• Optimal design of laminated composites using a modified mixed integer and discrete programming algorithm

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