A Multi-objective Particle Swarm Optimisation-Based Solution Approach for Multiple Mean-Responses Optimisation Considering Empirical Model Uncertainties

Author:

Sharma Abhinav Kumar,Mukherjee Indrajit

Publisher

Springer Singapore

Reference30 articles.

1. Bera, S., & Mukherjee, I. (2018a). A solution framework for response surface-based multiple quality characteristics optimization. International Journal of Reliability, Qualitive and Safety Engineering, 25(05), 1850025-1–1850025-27

2. Bera, S., & Mukherjee, I. (2018b). Advances in solution methods for optimisation of multiple quality characteristics in manufacturing processes. International Journal of Productve and Qualitive Management, 24(4), 475–494.

3. Chapman, J. L., Lu, L., & Anderson-Cook, C. M. (2014a). Process optimization for multiple responses utilizing the Pareto front approach. Quality Engineering, 26(3), 253–268.

4. Chapman, J. L., Lu, L., & Anderson-Cook, C. M. (2014b). Incorporating response variability and estimation uncertainty into Pareto front optimization. Computers & Industrial Engineering, 76, 253–267.

5. Coello, C. A. C., Lamont, G. B., & Van Veldhuizen, D. A. (2007). Evolutionary algorithms for solving multi-objective problems, 2nd edn. Springer Science & Business Media

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