A double-multiplicative dynamic penalty approach for constrained evolutionary optimization

DOI10.1007/S00158-007-0143-1zbMath1273.74379OpenAlexW2052309754MaRDI QIDQ373947

Alberto Carpinteri, Simone Puzzi

Publication date: 25 October 2013

Published in: Structural and Multidisciplinary Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00158-007-0143-1

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Numerical approximation of solutions of equilibrium problems in solid mechanics (74G15) Dynamic programming (90C39) Compliance or weight optimization in solid mechanics (74P05)

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Uses Software

• Genocop

Cites Work

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• Optimization by Simulated Annealing
• Test examples for nonlinear programming codes
• Efficient optimum design of structures-program DDDU
• A collection of test problems for constrained global optimization algorithms
• Lipschitzian optimization without the Lipschitz constant
• Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: A survey of the state-of-the-art
• The second generation of self-organizing adaptive penalty strategy for constrained genetic search
• Applications of a Quadratic Extended Interior for Structural Optimization Penalty Function

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