Multi-objective, multi-domain genetic optimization of a hydraulic rescue spreader

Thomas A. Sullivan, James D. Van De Ven

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


In this paper, general strategies are presented by which a multi-domain, multi-objective, mechanism-based optimization problem may be efficiently formulated and solved by means of a genetic algorithm. These strategies include integration of traditional precision position techniques with genetic optimization, efficient selection of design variables and search bounds, and a nested optimization structure. A case study illustrating these methods is presented in which a hydraulic rescue spreader is simultaneously optimized for four objectives relating to structural efficiency and kinematic behavior. The solution obtained is shown to be equal or superior to a comparable commercially available device with respect to all four objectives.

Original languageEnglish (US)
Pages (from-to)35-51
Number of pages17
JournalMechanism and Machine Theory
StatePublished - Oct 2014


  • Evolutionary techniques
  • Genetic algorithms
  • Mechanism optimization
  • Mechanism synthesis
  • Multi-domain optimization
  • Multi-objective optimization

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