Generating optimal topologies in structural design using a homogenization method
Computer Methods in Applied Mechanics and Engineering
Structural boundary design via level set and immersed interface methods
Journal of Computational Physics
Ant Colony Optimization
Ant Algorithms: Theory and Applications
Programming and Computing Software
Finite Elements in Analysis and Design
Structural topology optimization using ant colony optimization algorithm
Applied Soft Computing
Evolutionary topological optimization of vibrating continuum structures for natural frequencies
Computers and Structures
Two-point gradient-based MMA (TGMMA) algorithm for topology optimization
Computers and Structures
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A modified ant colony optimization (MACO) algorithm implementing a new definition of pheromone and a new cooperation mechanism between ants is presented in this paper. The sensitivity of structural response to the presence of each element included in the finite element (FE) model is evaluated. The study aims to improve the suitability and computational efficiency of the ant colony optimization algorithm in dynamic topology optimization problems. The natural frequencies of the structure must be maximized yet satisfying a constraint on the final volume. Optimization results obtained in three test cases indicate that MACO is more efficient and robust than standard ACO in solving dynamic topology optimization problems.