In practical applications, it is common to have optimization problems that have multiple conflicting objective functions which are computationally expensive or do not have analysis formulas. These ...

Obtaining high-quality solutions for constrained multi-objective optimization problems (CMOPs) has been extensively researched in recent years. One popular approach is the coevolutionary framework, ...

Authors: Sedjro Salomon Hotegni , Manuel Berkemeier, and Sebastian Peitz. Contained within this repository is the source code corresponding to our paper titled "Multi-Objective Optimization for Sparse ...

A technique for finding MINSUM and MINMAX solutions to multi-criteria decision problems, called Multi Objective Dynamic Programming, capable of handling a wide range of linear, nonlinear, ...

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NHS tracker: The best and worst hospitals in the country Every hospital is facing unique levels of pressure. Use The Telegraph’s tool to see the best and worst hospital trusts near you ...