Optimal design of four-bar mechanisms using a hybrid multi-objective GA with adaptive local search

DOI10.1016/J.MECHMACHTHEORY.2011.05.006zbMath1252.70008OpenAlexW1993031974MaRDI QIDQ1760145

Xianqiang Yang

Publication date: 13 November 2012

Published in: Mechanism and Machine Theory (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.mechmachtheory.2011.05.006

zbMATH Keywords

multi-objective optimizationhybrid genetic algorithmsadaptive local searchmechanism synthesisfour-bar mechanisms

Mathematics Subject Classification ID

Kinematics of mechanisms and robots (70B15)

Related Items (6)

A new hybrid teaching-learning particle swarm optimization algorithm for synthesis of linkages to generate path ⋮ Hybrid optimization approach for the design of mechanisms using a new error estimator ⋮ A general method for the optimal synthesis of mechanisms using prescribed instant center positions ⋮ Developments in quantitative dimensional synthesis (1970–present): four-bar path and function generation ⋮ Unnamed Item ⋮ Pareto optimal synthesis of eight-bar mechanism using meta-heuristic multi-objective search approaches: application to bipedal gait generation

Uses Software

• PAES

Cites Work

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• A combined genetic algorithm--fuzzy logic method (GA--FL) in mechanisms synthesis
• On mechanism design optimization for motion generation
• Optimal synthesis of a four-bar linkage by method of controlled deviation
• An Iterative Method for the Displacement Analysis of Spatial Mechanisms

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