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Multi-Objective Dynamic Optimization using Evolutionary Algorithms

Multi-Objective Dynamic Optimization using Evolutionary Algorithms. by Udaya Bhaskara Rao N. under the guidance of Dr. Kalyanmoy Deb Professor Department of Mechanical Engineering. Birds view. Introduction to DMO. Test problems in DMO. NSGA-II application in DMO.

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1.83k views • 51 slides

ece.iastate/research/research-projects/netscore-21.html

21 st Century National Energy & Transportation Infrastructures: Long-Term Planning for Cost, Sustainability, and Resilience. http://www.ece.iastate.edu/research/research-projects/netscore-21.html http://www.youtube.com/NETSCORE21.

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420 views • 33 slides

Optimizing LCLS2 taper profile with genetic algorithms: preliminary results

Optimizing LCLS2 taper profile with genetic algorithms: preliminary results. X. Huang, J. Wu, T. Raubenhaimer , Y. Jiao, S. Spampinati, A. Mandlekar, G. Yu 2/29/2012. An Overview of Multi-Objective Genetic Algorithms . Multi-objective optimization Goal: to find the Pareto optimal set

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311 views • 18 slides

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Multi-Objective Dynamic Optimization using Evolutionary Algorithms

ece.iastate/research/research-projects/netscore-21.html

Optimizing LCLS2 taper profile with genetic algorithms: preliminary results