Response surface approximation of pareto optimal front in multi-objective optimization

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Multi-Objective Optimization of a Row of Film Cooling Holes Using an Evolutionary Algorithm and Surrogate Modeling (2013, methodology): “A hybrid multi-objective evolutionary algorithm (hybrid MOEA) using an elitist non-dominated sorting genetic algorithm (NSGA-II) combined with a local search strategy [27] has been applied to various engineering design optimizations including cooling channels [28] and microchannel heat sinks [29, 30”
Multiobjective Optimization of Staggered Elliptical Pin-Fin Arrays (2008, methodology): “The weighted-sum strategy is very popular and simple to implement [18].”
Axial-Flow Ventilation Fan Design Through Multi-Objective Optimization to Enhance Aerodynamic Performance (2011, methodology): “[19] performed design optimization to enhance the isentropic efficiency and total pressure ratio of a centrifugal compressor by using a hybrid multiobjective evolutionary algorithm (MOEA) [20,21].”
Surrogate-based Analysis and Optimization (2005, methodology): “[11], some of these objectives are conflicting in nature, hence there cannot be a single optimal solution for this problem.”