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prepare release - update whats_new
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@ -10,7 +10,7 @@ jsprit, which was basically specific configurations of the schrimpf-algorithm wa
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The algorithm results in what we expect by looking at the problem. Look at what happened when we add similar job-clusters
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The algorithm results in what we would expect by looking at the problem. Look at what happened when we add similar job-clusters
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between depot and the existing clusters.
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@ -25,7 +25,7 @@ This is definitely not the solution, one would intuitively expect when looking a
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Therefore, we put much effort into analysing this and designing a new algorithm (which is still based on the
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schrimpf principles). We implemented two new ruin strategies: worst and cluster ruin, and we added
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some randomness to the ruin and recreation strategies. Moreover, the new algorithm makes use of regretInsertion by default.
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some thouroughly designed randomness to these and the existing strategies. Moreover, the new algorithm makes use of regretInsertion by default.
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On all benchmarking instances, our new algorithm performs better (or at least as good
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as) than the previous algorithms in terms of solution quality. However, it comes with higher computational costs.
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Look at how the new algorithm solves the above problem
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