A genetic algorithm with memory for optimal design of laminated sandwich composite panels

Composite Structures

Volumn 58, Issue 4, 2002, Pages 513-520

  Gantovnik, Vladimir B ^a   Gürdal, Zafer ^a   Watson, Layne T ^a  

^a VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

Author keywords

Composite panel structure; Genetic algorithm; Spline approximation

Indexed keywords

APPROXIMATION THEORY; BUCKLING; DATABASE SYSTEMS; SANDWICH STRUCTURES; STRUCTURAL PANELS;

BINARY TREES;

LAMINATED COMPOSITES;

COMPOSITE;

EID: 0036896276     PISSN: 02638223     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0263-8223(02)00128-9     Document Type: Article

References (11)

1. Optimum design of laminated fiber composite plates
2. Stacking sequence optimization for buckling of laminated plates by integer programming
3. Stacking sequence optimization of simply supported laminates with stability and strain constraints
4. Optimization of laminate stacking sequence for buckling load maximization by genetic algorithm
5. A new GA-local search hybrid for optimization based on multilevel single linkage clustering
6. Genetic algorithms with local improvement for composite laminate design
7. Design of composite laminates by a genetic algorithm with memory
8. A Fortran 90 genetic algorithm module for composite laminate structure design
9. Optimization for buckling of composite sandwich plates