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@@ -58,8 +58,8 @@ Main idea about this Python package is that it does not which doesn't implement
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Fully documentation of package with examples is [available](https://jbuisine.github.io/macop).
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You can also see examples of use:
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-- in the [knapsackExample.py](https://github.com/jbuisine/macop/blob/master/examples/knapsackExample.py) for mono-objective instance.
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-- in the [knapsackMultiExample.py](https://github.com/jbuisine/macop/blob/master/examples/knapsackMultiExample.py) for multi-objective instance.
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+- in the [knapsackExample.py](https://github.com/jbuisine/macop/blob/master/examples/knapsackExample.py) for mono-objective knapsack instance.
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+- in the [knapsackMultiExample.py](https://github.com/jbuisine/macop/blob/master/examples/knapsackMultiExample.py) for multi-objective knapsack instance.
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- in the [qapExample.py](https://github.com/jbuisine/macop/blob/master/examples/qapExample.py) for mono-objective QAP instance.
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- in the [ubqpExample.py](https://github.com/jbuisine/macop/blob/master/examples/ubqpExample.py) for mono-objective UBQP problem instance.
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@@ -69,7 +69,7 @@ You can also see examples of use:
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git submodule add https://github.com/jbuisine/macop.git
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```
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-## Current projects which use `Macop`
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+## Current projects which use `Macop`:
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- [@prise3d/noise-detection-attributes-optimization](https://github.com/prise-3d/noise-detection-attributes-optimization): use of a parent algorithm with the real (but very expensive) evaluation function, and then inner local searches which use a substitution model (a model that has learned to approximate the real cost function with a quick-to-evaluate function). Hence, two evaluation functions have been used in order to accelerate the search in the set of solutions.
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