Permutation genetic algorithm for stacking sequence design of composite laminates

DOI10.1016/S0045-7825(99)90391-2zbMath0965.74050OpenAlexW2001067525MaRDI QIDQ1574392

Mehmet A. Akgün, Raphael T. Haftka, Akira Todoroki, Bo-Yang Liu

Publication date: 5 August 2001

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0045-7825(99)90391-2

zbMATH Keywords

combinatorial problemcomposite laminateoptimal permutationgene-rank GAnon-permutation GApartially mapped permutation GA

Mathematics Subject Classification ID

Permutations, words, matrices (05A05) Composite and mixture properties (74E30) Optimization of other properties in solid mechanics (74P10) Genetics and population dynamics (92D99)

Related Items (8)

Improved genetic algorithm with two-level approximation method for laminate stacking sequence optimization by considering engineering requirements ⋮ Global laminate optimization on geometrically partitioned shell structures ⋮ A primal-dual backtracking optimization method for blended composite structures ⋮ Optimum design of laminated composite plates under dynamic excitation ⋮ Stacking sequence and shape optimization of laminated composite plates via a level-set method ⋮ Buckling optimization of composite rectangular plates by sequential permutation search with bending-twisting correction ⋮ Multi-component topology and material orientation design of composite structures (MTO-C) ⋮ Adaptive surrogate-based harmony search algorithm for design optimization of variable stiffness composite materials

Uses Software

• Genocop
• DOT

Cites Work

• Torsion of an anisotropic curved bar
• Optimum Design of Laminated Plates under Axial Compression
• Optimum design of laminated fibre composite plates
• Optimization of laminate stacking sequence for buckling load maximization by genetic algorithm
• Genetic Algorithms and Random Keys for Sequencing and Optimization
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