Category: operations-research
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A Generalizable MARL-LP Approach for Scheduling in Logistics
A Generalizable MARL-LP Approach for Scheduling in Logistics Part 1. Hybrid Solution for Dynamic Vehicle Routing — Context and Architecture The post A Generalizable MARL-LP Approach for Scheduling in Logistics appeared first on Towards Data Science. Alexander Levin Go to original source
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Multi-Attribute Decision Matrices, Done Right
Multi-Attribute Decision Matrices, Done Right How to structure decisions, identify efficient options, and avoid misleading value metrics The post Multi-Attribute Decision Matrices, Done Right appeared first on Towards Data Science. Josiah DeValois Go to original source
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How I Optimized My Leaf Raking Strategy Using Linear Programming
How I Optimized My Leaf Raking Strategy Using Linear Programming From a weekend chore to a fun application of valuable operations research principles The post How I Optimized My Leaf Raking Strategy Using Linear Programming appeared first on Towards Data Science. Josiah DeValois Go to original source
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What Optimization Terminologies for Linear Programming Really Mean
What Optimization Terminologies for Linear Programming Really Mean Understanding the duality of optimization problem, primal to dual conversion, and the optimality conditions for linear problems. The post What Optimization Terminologies for Linear Programming Really Mean appeared first on Towards Data Science. Himalaya Bir Shrestha Go to original source
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How to Tackle an Optimization Problem with Constraint Programming
How to Tackle an Optimization Problem with Constraint Programming Case study: the travelling salesman problem TLDR Constraint Programming is a technique of choice for solving a Constraint Satisfaction Problem. In this article, we will see that it is also well suited to small to medium optimization problems. Using the well-known travelling salesman problem (TSP) as an…