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Pareto-Based Optimization

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Abstract

Engineering and architectural problems most of the times are not dealing with only one single objective to be satisfied. To the contrary almost always these problems contain different objectives to be fulfilled: problems such as how to select the optimized option among objectives such as energy consumption, comfort, and beauty of the building, or construction cost, operation and maintenance costs, and expected life-span of the design building.

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References

  1. Deb, K., & Kanpur, D. K. S. (2005) Through dimensionality reduction for certain large-dimensional multi-objective optimization problems. Genetic Algorithms Laboratory (KanGAL) Indian Institute of Technology Kanpur Kanpur, PIN 208016, India {deb,dksaxena}@iitk.ac.in, http://www.iitk.ac.in/kangal KanGAL Report Number 2005011

  2. Konak, A., Coit, D. W., & Smith, A. E. (2006). Multi-objective optimization using genetic algorithms: A tutorial. Reliability Engineering & System Safety, 91(9), 992–1007.

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  3. Bakhsh, A., A., (2013). A posteriori and interactive approaches for Decision-Making with multiple stochastic objectives; PhD thesis; University of Central Florida, Orlando, Florida

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  4. Hopfe, J.C. (2009). Uncertainty and Sensitivity analysis in building performance simulation for decision support and design optimization; PhD thesis.

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Khazaii, J. (2016). Pareto-Based Optimization. In: Advanced Decision Making for HVAC Engineers. Springer, Cham. https://doi.org/10.1007/978-3-319-33328-1_11

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  • DOI: https://doi.org/10.1007/978-3-319-33328-1_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-33327-4

  • Online ISBN: 978-3-319-33328-1

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