Before you offload your codebase to ChatGPT, read this. From security flaws to copyright nightmares, here's what the AI hype machine isn't telling you.

This study proposes a comprehensive strategy to optimize the operation of real-world gas pipeline networks and support decision-making. The goal is to improve environmental sustainability by ...

A maximally permissive (or optimal) supervisory control of an automated manufacturing system (AMS) modeled by Petri nets (PNs) can be usually implemented by imposing constraints in the form of a set ...

Detailed price information for Oroco Resource Corp (OCO-X) from The Globe and Mail including charting and trades.

There is a need for design strategies that can support rapid and widespread deployment of new energy systems and process technologies. In a previous work, we introduced process family design as an ...

Advancements in Linear Programming Linear programming, a method for optimizing a linear objective function subject to constraints, has seen significant advancements over the past century. From the ...

Learn how to tackle resource constraints in linear programming for optimal operations research outcomes.

In this study, we propose a mining cut clustering model based on Mixed Integer Linear Programming (MILP). Then we solve it by an exact approach and by Constraint Programming (CP), analyzing the ...

Linear Programming Supply Chain Optimization using Binary and Integer Constraints. There are five customers whose demand has to be satisfied by building one or two warehouses. The table below shows ...

We present a number of contributions to the LP relaxation approach to weighted constraint satisfaction (= Gibbs energy minimization). We link this approach to many works from constraint programming, ...