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<td>nonlinear nonseparable nonsymmetric; scalable in terms of time to evaluate the objective function</td>
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<td>generator</td>
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<td>1</td>
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<td>scalable</td>
@@ -600,7 +600,7 @@ <h2>OPL – Optimisation problem library</h2>
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</tr>
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<td>Convex DTLZ2</td>
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<td></td>
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<td>Variant of DTLZ2 with a convex Pareto front (instead of concave)</td>
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<td>single</td>
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<td>2+</td>
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<td>scalable</td>
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<td>Inverted DTLZ1</td>
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<td></td>
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<td>Variant of DTLZ1 with an inverted Pareto front</td>
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<td>single</td>
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<td>2+</td>
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<td>scalable</td>
@@ -630,7 +630,7 @@ <h2>OPL – Optimisation problem library</h2>
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<td>Minus DTLZ</td>
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<td></td>
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<td>Variant of DTLZ that minimises the inverse of the base DTLZ functions</td>
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<td>suite</td>
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<td>2+</td>
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<td>scalable</td>
@@ -645,7 +645,7 @@ <h2>OPL – Optimisation problem library</h2>
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</tr>
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<td>Minus WFG</td>
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<td></td>
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<td>Variant of WFG that minimises the inverse of the base WFG functions</td>
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<td>suite</td>
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<td>2+</td>
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<td>scalable</td>
@@ -660,7 +660,7 @@ <h2>OPL – Optimisation problem library</h2>
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</tr>
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<td>L1-ZDT</td>
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<td></td>
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<td>Variant of ZDT with linkages between variables within one of two groups but not between variables in a different group; Linear recombination operators can potentially take advantage of the problem structure</td>
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<td>suite</td>
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<td>2</td>
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<td>scalable</td>
@@ -675,7 +675,7 @@ <h2>OPL – Optimisation problem library</h2>
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<td>L2-ZDT</td>
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<td></td>
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<td>Variant of ZDT with linkages between all variables; Linear recombination operators can potentially take advantage of the problem structure</td>
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<td>suite</td>
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<td>2</td>
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<td>scalable</td>
@@ -690,7 +690,7 @@ <h2>OPL – Optimisation problem library</h2>
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<td>L3-ZDT</td>
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<td></td>
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<td>Variant of L2-ZDT using a mapping to prevent linear recombination operators from potentially taking advantage of the problem structure</td>
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<td>suite</td>
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<td>2</td>
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<td>scalable</td>
@@ -705,7 +705,7 @@ <h2>OPL – Optimisation problem library</h2>
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</tr>
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<tr>
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<td>L2-DTLZ</td>
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<td></td>
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<td>Variant of DTLZ2 and DTLZ3 with linkages between all variables; Linear recombination operators can potentially take advantage of the problem structure</td>
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<td>suite</td>
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<td>2+</td>
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<td>scalable</td>
@@ -720,7 +720,7 @@ <h2>OPL – Optimisation problem library</h2>
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<td>L3-DTLZ</td>
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<td></td>
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<td>Variant of L2-DTLZ using a mapping to prevent linear recombination operators from potentially taking advantage of the problem structure</td>
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<td>suite</td>
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<td>2+</td>
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<td>scalable</td>
@@ -750,7 +750,7 @@ <h2>OPL – Optimisation problem library</h2>
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<td>MODAct - multiobjective design of actuators</td>
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<td>Realistic Constrained Multi-Objective Optimization Benchmark Problems from Design</td>
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<td>Realistic Constrained Multi-Objective Optimization Benchmark Problems from Design. Need the https://github.com/epfl-lamd/modact package installed; evaluation times around 20ms</td>
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<td>suite</td>
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<td>2 3 4 or 5</td>
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<td>20</td>
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</tr>
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<td>IOHClustering</td>
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<td>Set of benchmark problems from clustering: optimization task is selecting cluster centers for a given set of data, with the number of clusters defining problem dimensionality. Includes both a suite and a generator</td>
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<td>Set of benchmark problems from clustering: optimization task is selecting cluster centers for a given set of data, with the number of clusters defining problem dimensionality. Includes both a suite and a generator. Based on ML clustering datasets</td>
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<td>suite; generator</td>
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<td>1</td>
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<td>scalable</td>
@@ -780,7 +780,7 @@ <h2>OPL – Optimisation problem library</h2>
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