... | ... | @@ -60,6 +60,9 @@ which of the two spaces the algorithm uses to determine the next step, |
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it can be difficult to assure an even sampling of both spaces
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simultaneously.
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.The (often non-linear) mapping latexmath:[f : \mathbb{R}^n \rightarrow \mathbb{R}^M] from design to objective space. The dashed lines represent the constraints in design space and the set of solutions (Pareto front) in objective space.
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image:figures/optimiser/design_objective_space.png[]
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A special subset of multi-objective optimization problems where all
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objectives and constraints are linear, called _Multi-objective linear
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programs_, exhibit formidable theoretical properties that facilitate
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