IEEE

Multi-Objective Genetic Programming Assisted Stochastic Deep Reinforcement Learning for Dynamic Knowledge Integration in Transportation Networks

Abstract: Transportation Networks (TNs) play a critical role in economic and social systems, yet the dynamic nature and inherent heterogeneity of TN data pose challenges for Dynamic Knowledge ...
IEEE

A Novel Multi-Objective Memetic Algorithm for Multi-Task Fuzzy Flexible Job Shop Scheduling

Abstract: Multi-task multi-objective fuzzy flexible job shop scheduling (FFJSS), different from traditional multi-objective FFJSS, offers the advantage of simultaneously addressing distinct ...
GitHub

container-use

Container Use lets coding agents do their work in parallel environments without getting in your way. Go from babysitting one agent at a time to enabling multiple agents to work safely and ...
GitHub

High-performance Python rate limiting library with multiple algorithms (Fixed Window, Sliding Window, Token Bucket, Leaky Bucket & GCRA) and storage backends (Redis, In ...

in-memory Use In-Memory as storage backend. redis Use Redis as storage backend. If you want to throttle the same Key at different locations in your program, make sure that Throttled receives the same ...