Improving productivity using a multi-objective optimization of robotic trajectory planning
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DOI: 10.1016/j.jbusres.2015.01.027
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- Fish, Kelly E. & Johnson, John D. & Dorsey, Robert E. & Blodgett, Jeffery G., 2004. "Using an artificial neural network trained with a genetic algorithm to model brand share," Journal of Business Research, Elsevier, vol. 57(1), pages 79-85, January.
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Cited by:
- Secundo, Giustina & Riad Shams, S.M. & Nucci, Francesco, 2021. "Digital technologies and collective intelligence for healthcare ecosystem: Optimizing Internet of Things adoption for pandemic management," Journal of Business Research, Elsevier, vol. 131(C), pages 563-572.
- Rubio, Francisco & Llopis-Albert, Carlos & Valero, Francisco, 2021. "Multi-objective optimization of costs and energy efficiency associated with autonomous industrial processes for sustainable growth," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
- Carlos Llopis-Albert & Francisco Rubio & Francisco Valero, 2021. "Modelling an Industrial Robot and Its Impact on Productivity," Mathematics, MDPI, vol. 9(7), pages 1-13, April.
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Keywords
Robotics; Multi-objective optimization; Trajectory planning; Pareto frontier; Scheduling;All these keywords.
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