Flocks, herds and schools: A distributed behavioral model
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Generating optimal topologies in structural design using a homogenization method
Computer Methods in Applied Mechanics and Engineering
Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Journal of Computational Physics
A computational procedure for part design
Computer Methods in Applied Mechanics and Engineering
Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
On the Topological Derivative in Shape Optimization
SIAM Journal on Control and Optimization
Structural boundary design via level set and immersed interface methods
Journal of Computational Physics
Swarm intelligence
Distributed Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
Structural optimization using sensitivity analysis and a level-set method
Journal of Computational Physics
Shape feature control in structural topology optimization
Computer-Aided Design
Topology optimization of structures using modified binary differential evolution
Structural and Multidisciplinary Optimization
Efficient topology optimization in MATLAB using 88 lines of code
Structural and Multidisciplinary Optimization
Hybrid particle swarm optimizer and its application in identification of room acoustic properties
SIDE'12 Proceedings of the 2012 international conference on Swarm and Evolutionary Computation
Hi-index | 0.00 |
The paper deals with an application of the evolutionary algorithm (EA) and the particle swarm optimizer (PSO), to the optimization of shape, topology and material properties of spatial structures. Structures considered in this work are analyzed by the finite element method (FEM). Optimization criteria that are taken into account concern minimize mass and/or compliance. Numerical examples demonstrate that the method based on soft computing is a very effective technique for solving computer aided optimal design.