Generating optimal topologies in structural design using a homogenization method
Computer Methods in Applied Mechanics and Engineering
A computational procedure for part design
Computer Methods in Applied Mechanics and Engineering
Evolutionary structural optimization for problems with stiffness constraints
Finite Elements in Analysis and Design
The ant colony optimization meta-heuristic
New ideas in optimization
Future Generation Computer Systems
Future Generation Computer Systems
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Topology optimization of structures using modified binary differential evolution
Structural and Multidisciplinary Optimization
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A modified ACO algorithm that derives from specific definition of pheromone and cooperation mechanism between ants was applied for solving topology optimization problem of structure. Mesh topology of finite element model for structure was treated as possible paths for ant's movement. A tour on mesh topology map for seeking food finished by ant is transformed into a structure and the finite element method was applied to analyze the structure for calculating pheromone deposited on the path. The amount of accumulated pheromone deposited on every element by different ants was used to find optimum structural design. From the results studied in this paper, the purposed ACO algorithm provides as alternate optimization method that has high potential in finding the best design for topology optimization of structure successfully and efficiently.