Optimization of stamping process parameters based on an improved particle swarm optimization–genetic algorithm and sparse auto-encoder–back-propagation neural network model

DOI10.1080/0305215X.2022.2152018MaRDI QIDQ6495541

Meiyu Du, Unnamed Author, Kai Feng, Cheng Liu, Unnamed Author

Publication date: 30 April 2024

Published in: Engineering Optimization (Search for Journal in Brave)

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Approximation methods and heuristics in mathematical programming (90C59)

Cites Work

• Interactive genetic algorithms with multi-population adaptive hierarchy and their application in fashion design
• Optimization of drawbead restraining forces and drawbead design in sheet metal forming process
• A dynamic inertia weight particle swarm optimization algorithm
• Modified differential evolution algorithms for multi-vehicle allocation and route optimization for employee transportation
• An adaptive genetic algorithm-based and AND/OR graph approach for the disassembly line balancing problem

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