Léa Blaise Optimization Scientist

About Léa Blaise


Articles written by Léa

Benchmark Simple Assembly Line Balancing Problem (SALBP) LocalSolver vs Gurobi vs CP Optimizer
Benchmark Manufacturing Production Scheduling

LocalSolver vs Gurobi vs CP Optimizer on the Simple Assembly Line Balancing Problem (SALBP) November 1, 2021

The Simple Assembly Line Balancing Problem (SALBP) is defined as follows. A set of tasks must be gathered in groups called workstations. Each task requires some time to be processed. For each station, the sum of tasks’ processing times must not exceed a given limit, namely the cycle time. In addition, tasks should be processed according to…

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New feature New release: LocalSolver 10.5
New feature

New release: LocalSolver 10.5 June 21, 2021

We are pleased to announce the release of LocalSolver 10.5, which comes with many new features and performance improvements. Our colleague Léa from R&D gives some details in the following video. Here is the summary of the main novelties coming with LocalSolver 10.5. Vehicle Routing Problems Vehicle routing problems have never been solved faster: TSP – Gap to…

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Benchmark Bin Packing Problem (BPP) LocalSolver vs Gurobi
Benchmark Packing

LocalSolver vs Gurobi on the Bin Packing Problem April 26, 2021

The Bin Packing Problem is defined as follows. You have to assign items with known weights to bins with uniform capacity. The sum of weights of items assigned to each bin must be lower than its capacity. The objective is to minimize the number of bins used such that all items are placed. We illustrate on this…

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New feature New release: LocalSolver 10.0
New feature

New release: LocalSolver 10.0 February 1, 2021

We are pleased to announce the release of LocalSolver 10.0, which comes with many new features and performance improvements. Our colleague Léa from R&D gives some details in the following video. Here is the summary of the main novelties coming with LocalSolver 10.0. Vehicle Routing Problems Better solutions on several routing variants Faster preprocessing of huge instances…

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