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Results tagged with multi-objective-optimization
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Multi-objective optimization is an area of multiple criteria decision making that is concerned with mathematical optimization problems involving more than one objective function to be optimized simultaneously. Involve two or more optimization goals that are conflicting, meaning that improvement to one objective comes at the expense of another objective. The two methods for perform a multi-objetive-optimization are Pareto and scalarization.
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Using Spatial Multi Criteria Analysis for simultaneously locating various facilities?
Although it seems to be late to answer this question (as you need to submit a project until Friday), the following papers can be helpful in determining a solution approach to the multi-facility decisi …
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2
votes
Is Multidisciplinary Design Optimization / Collaborative Optimization used anywhere outside ...
As a student I am doing research in this field, I found Wikipedia's explanation very useful. You are right, most of the applications of MDO are in the field of design for aerospace and mechanical engi …
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5
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large scale optimization with Python
Quadratic programming solvers in Python with a unified API (here) includes most of the quadratic programming solvers such as CVXOPT (can take advantage of sparsity), Gurobi, MOSEK, OSQP, etc.
The perf …
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