Cooperative Multi-objective Topology Optimization Using Clustering and Metamodeling

Keyphrases

• Metamodel 100%
• Multi-objective Topology Optimization 100%
• Topology Optimization 66%
• Hybrid Automata 66%
• Energy Weighting 66%
• Scaled Energy 66%
• Challenging Tasks 33%
• Machine Learning Techniques 33%
• Optimization Problem 33%
• Unsupervised Method 33%
• Clustering Methods 33%
• Industrial Application 33%
• Pareto Front 33%
• Weight Vector 33%
• Design Basis 33%
• Real-world Application 33%
• Design Space 33%
• Pareto Optimal Solution 33%
• Cost Simulation 33%
• Cantilever 33%
• Desired Weight 33%
• Crashworthiness Optimization 33%
• Preferred Solution 33%
• Interactive Methods 33%
• Generating Solution 33%
• Material Layout 33%
• Preferred Region 33%
• Crash Energy Absorption 33%
• Multi-load Cases 33%
• Weighted Sums 33%

Computer Science

• Multiobjective 100%
• Topology Optimization 100%
• Metamodeling 100%
• Cellular Automata 40%
• Optimization Problem 20%
• World Application 20%
• Subclasses 20%
• Pareto-optimality 20%
• Desired Solution 20%
• Preferred Solution 20%
• Clustering Method 20%
• Industrial Applications 20%
• Machine Learning 20%
• Learning System 20%
• Boundary Condition 20%

Material Science

• Weight Vector 100%