IEEE

A Reinforcement-Learning-Enhanced Knowledge-Guided Genetic Algorithm for Flexible Job-Shop Scheduling Problems With Lot Streaming

Abstract: A flexible job-shop scheduling problem with lot streaming (FJSP-LS) is an extension of flexible job-shop scheduling problems (FJSPs). In it, jobs are allowed to be split into multiple ...
IEEE

Genetic Algorithms for a Scheduling Problem of Parcel Delivery and Pickup by Drones

Abstract: Recent studies have been conducted actively on scheduling in a parcel delivery system using a truck and drones to deliver parcels more effectively. In logistics, it is necessary to provide ...
Wired

A New Quantum Algorithm Speeds Up Solving a Huge Class of Problems

The original version of this story appeared in Quanta Magazine. For computer scientists, solving problems is a bit like mountaineering. First they must choose a problem to solve—akin to identifying a ...
The New York Times

I Tested 9 AI-Powered Scheduling Assistants. My Favorite Is the One With the Least AI.

We independently review everything we recommend. We may get paid to link out to retailer sites, and when you buy through our links, we may earn a commission. Learn more› By Matthew Guay It’s hard not ...
Frontiers

Hybrid genetic algorithm and Q-learning-based solution for the time-variant berth and quay crane allocation problem

Institute of Logistics Science and Engineering of Shanghai Maritime University, Pudong, China Introduction: This study addresses the joint scheduling optimization of continuous berths and quay cranes ...