Structural topology optimization using ant colony optimization algorithm

Authors:
Guan-Chun Luh;Chun-Yi Lin
Affiliations:
Department of Mechanical Engineering, Tatung University, Taipei 104, Taiwan, ROC;Department of Mechanical Engineering, Tatung University, Taipei 104, Taiwan, ROC
Venue:
Applied Soft Computing
Year:
2009

Citing 8
Cited 8

Generating optimal topologies in structural design using a homogenization method

Computer Methods in Applied Mechanics and Engineering
A two-stage approach for structural topology optimization

Advances in Engineering Software
The ant colony optimization meta-heuristic

New ideas in optimization
Multi-objective optimization of structures topology by genetic algorithms

Advances in Engineering Software - Special issue on evolutionary optimization of engineering problems
A novel method for alignment of two nucleic acid sequences using ant colony optimization and genetic algorithms

Applied Soft Computing
Performance evaluation of a two stage adaptive genetic algorithm (TSAGA) in structural topology optimization

Applied Soft Computing
Short communication: A modified ant optimization algorithm for path planning of UCAV

Applied Soft Computing
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
A binary particle swarm optimization for continuum structural topology optimization

Applied Soft Computing
Application of neural networks and fuzzy logic models to long-shore sediment transport

Applied Soft Computing
On the usefulness of non-gradient approaches in topology optimization

Structural and Multidisciplinary Optimization
An improved ant colony optimization for scheduling identical parallel batching machines with arbitrary job sizes

Applied Soft Computing
A survey of non-gradient optimization methods in structural engineering

Advances in Engineering Software
Variable-Order Ant System for VLSI multiobjective floorplanning

Applied Soft Computing
A modified ant colony optimization algorithm for dynamic topology optimization

Computers and Structures

Quantified Score

Hi-index	0.00

Visualization

Abstract

The ant colony optimization (ACO) algorithm, a relatively recent bio-inspired approach to solve combinatorial optimization problems mimicking the behavior of real ant colonies, is applied to problems of continuum structural topology design. An overview of the ACO algorithm is first described. A discretized topology design representation and the method for mapping ant's trail into this representation are then detailed. Subsequently, a modified ACO algorithm with elitist ants, niche strategy and memory of multiple colonies is illustrated. Several well-studied examples from structural topology optimization problems of minimum weight and minimum compliance are used to demonstrate its efficiency and versatility. The results indicate the effectiveness of the proposed algorithm and its ability to find families of multi-modal optimal design.