Frédéric Senior Optimization Scientist

About Frédéric


Articles written by Frédéric

Announcement New release: Hexaly 12.5
Announcement

New release: Hexaly 12.5 January 29, 2024

We are pleased to announce the release of Hexaly 12.5, which includes many new features and performance enhancements.  The “gaps” mentioned below are the relative gaps in % between the solutions computed by Hexaly Optimizer in less than 1 minute on a standard server (AMD Ryzen 7 7700 processor, 8 cores, 3.8 GHz, 32MB cache, 32GB…

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Announcement New release: LocalSolver 12.0
Announcement

New release: LocalSolver 12.0 June 19, 2023

Vehicle Routing Vehicle Routing problems with 1,000 deliveries are now solved to near-optimality within 1 minute of running time. The “gap” mentioned below is the relative gap in % between the solutions computed by LocalSolver 12.0 within 1 minute of running time on a standard server (Intel Xeon E3-1230 processor, 4 cores, 3.6 GHz, 8MB…

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Announcement New release: LocalSolver 11.5
Announcement

New release: LocalSolver 11.5 November 7, 2022

We are pleased to announce the release of LocalSolver 11.5. Discover below the main novelties coming with this new release. Vehicle Routing problems Vehicle Routing problems are solved even faster. The “gap” mentioned below is the relative gap in % between the solutions computed by LocalSolver 11.5 within 1 minute of running time on a standard…

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Tutorial Modeling and Solving Non-Convex Quadratic Problems
Tutorial

Modeling and Solving Non-Convex Quadratic Problems July 11, 2022

A recent post on Erwin Kalvelagen’s blog, Yet Another Math Programming Consultant, shows results obtained by state-of-the-art solvers on some non-convex quadratic problems. LocalSolver can compute lower bounds and prove optimality using global, exact optimization techniques. This article presents the results of LocalSolver Optimizer with default parameter setting on the non-convex quadratic models presented in Erwin…

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Announcement New release: LocalSolver 11.0
Announcement

New release: LocalSolver 11.0 March 21, 2022

We are pleased to announce the release of LocalSolver 11.0, which comes with many new features and performance improvements. Discover the main novelties coming with this new release. Vehicle Routing problems Vehicle Routing problems have never been solved faster: Production Scheduling problems Sequencing and Scheduling problems up to 10,000 tasks optimized in minutes: Simulation Optimization problems…

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Benchmark Quadratic Assignment Problem (QAP) Hexaly vs Gurobi
Benchmark Transportation Network Design

Hexaly vs Gurobi on the Quadratic Assignment Problem (QAP) October 4, 2021

The Quadratic Assignment Problem (QAP) consists in assigning facilities to locations. For each pair of locations, a distance is given. For each pair of facilities, a flow is given. This flow corresponds to the number of goods to be transported from one facility to another. The goal is to assign all facilities to locations while minimizing the…

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Announcement LocalSolver Cloud
Announcement

LocalSolver Cloud August 9, 2021

With the release of LocalSolver 10.5, we are glad to announce the release of a new service, LocalSolver Cloud. It is now easier than ever to leverage the power of cloud computing and get the best results for your optimization problem in the shortest amount of time. This new feature requires no configuration and is provided…

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Tutorial Modeling and Solving Curve Fitting Problems
Tutorial

Modeling and Solving Curve Fitting Problems June 7, 2021

LocalSolver solves combinatorial but also continuous optimization problems. Here we show how Curve Fitting problems can be easily modeled and optimally solved, in seconds, using LocalSolver Optimizer. Curve Fitting consists in constructing a curve that best fits a series of data points. A pair of input and output define each data point. The curve corresponds to…

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Announcement Two New Big Features for LSP Lovers
Announcement

Two New Big Features for LSP Lovers May 10, 2021

With the release of LocalSolver 10.0, one of the key features we wanted to push forward was integrating LSP programs into full production-ready applications. The JSON module and the Modeler API were both introduced to facilitate data processing in and out of an LSP program. In this article, we present these features with small examples. We recommend looking at the language…

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