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integer programming

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Didi Tech
Didi Tech
Jun 13, 2023 · Operations

Supply-Demand Dynamics and Regulation Techniques in Didi’s Ride-Hailing Platform

Didi balances ride‑hailing supply and demand by forecasting regional needs with time‑series and deep‑learning models, then optimally repositioning drivers through integer programming and refining policies via imitation and offline reinforcement learning, ultimately enhancing passenger experience and platform efficiency.

DidiOffline Reinforcement LearningRide-hailing
0 likes · 16 min read
Supply-Demand Dynamics and Regulation Techniques in Didi’s Ride-Hailing Platform
DeWu Technology
DeWu Technology
Oct 26, 2022 · Operations

Optimization of Packaging Box Design Using Linear and Genetic Algorithms

By formulating the Aurora Blue box design as an integer programming problem and applying both exact linear methods and a tailored genetic algorithm, the study identified an eight‑to‑fifteen‑type solution that raises packing efficiency by 5.49%, cuts paper use 7.6% and trims shipping cost by 0.06 CNY.

Linear Programminggenetic algorithminteger programming
0 likes · 13 min read
Optimization of Packaging Box Design Using Linear and Genetic Algorithms
Model Perspective
Model Perspective
Jul 5, 2022 · Operations

How 0‑1 Integer Programming Solves Assignment Problems: A Relay Team Example

This article explains 0‑1 integer programming, its advantages, common solution methods, and demonstrates its application to an assignment problem using a relay‑team case study solved with Python's PuLP library, yielding the optimal swimmer‑stroke allocation.

0-1 programmingPuLPassignment problem
0 likes · 4 min read
How 0‑1 Integer Programming Solves Assignment Problems: A Relay Team Example
Model Perspective
Model Perspective
May 3, 2022 · Operations

Integer Programming Essentials: Methods and a Chocolate Production Example

This article introduces integer programming, explains its standard form, outlines two primary solution techniques—branch‑and‑bound and cutting‑plane methods—and demonstrates their application through a chocolate‑production optimization case that maximizes profit under resource constraints for the company.

branch and boundcutting planeinteger programming
0 likes · 5 min read
Integer Programming Essentials: Methods and a Chocolate Production Example
Kuaishou Tech
Kuaishou Tech
Mar 16, 2022 · Artificial Intelligence

Multi-Dimensional Causal Forest Model for Heterogeneous Treatment Effects in Marketing

This paper introduces a novel multi-dimensional causal forest model combined with efficient integer programming algorithms to estimate heterogeneous treatment effects (HTE) in marketing scenarios, outperforming traditional tree-based methods through improved handling of intervention heterogeneity and resource allocation optimization.

A/B testingHeterogeneous Treatment EffectsMarketing Algorithms
0 likes · 7 min read
Multi-Dimensional Causal Forest Model for Heterogeneous Treatment Effects in Marketing