IEEE

Deep Reinforcement Learning Based Adaptive Operator Selection for Evolutionary Multi-Objective Optimization

Abstract: Evolutionary algorithms (EAs) have become one of the most effective techniques for multi-objective optimization, where a number of variation operators have been developed to handle the ...
marktechpost

A Complete End-to-End Coding Guide to MLflow Experiment Tracking, Hyperparameter Optimization, Model Evaluation, and Live Model Deployment

In this tutorial, we build a complete, production-grade ML experimentation and deployment workflow using MLflow. We start by launching a dedicated MLflow Tracking Server with a structured backend and ...
GitHub

davila7/claude-code-templates

Ready-to-use configurations for Anthropic's Claude Code. A comprehensive collection of AI agents, custom commands, settings, hooks, external integrations (MCPs), and project templates to enhance your ...
IEEE

Optimization Algorithm Synthesis Based on Integral Quadratic Constraints: A Tutorial

Abstract: We expose in a tutorial fashion the mechanisms which underlie the synthesis of optimization algorithms based on dynamic integral quadratic constraints. We reveal how these tools from robust ...
marktechpost

How to Design an Agentic Workflow for Tool-Driven Route Optimization with Deterministic Computation and Structured Outputs

In this tutorial, we build a production-style Route Optimizer Agent for a logistics dispatch center using the latest LangChain agent APIs. We design a tool-driven workflow in which the agent reliably ...