Multiobjective Optimization

By Matthias Ehrgott. The AI Magazine, 2008

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Comparison of Three Multiobjective Optimization Algorithms for Inverse Modeling of Vadose Zone Hydraulic Properties (2008, methodology): “The NSGA-II algorithm has been successfully used for multiobjective optimization in a number of fi elds, such as mechanical and chemical engineering and bioinformatics (e.g., Deb and Reddy, 2003; Salazar et al., 2006; Zhang et al., 2006; Gupta et al., 2007; Khosla et al., 2007).”
A review of multiobjective test problems and a scalable test problem toolkit (2006, background): “E VOLUTIONARY algorithms (EAs) have proven to be very useful when solving complex multiobjective optimization problems, including many real-world problems [1].”
Simplifying Particle Swarm Optimization (2010, background): “It is not clear who is the original author of this technique, but it is mentioned in [43] as having been popular for many years.”
Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions (2014, background): “In addition, the decision variables, objective functions and constraints are generally assumed to be known (e.g. Newman et al., 2014; Paton et al., 2014; Wu et al., 2013).”