optimization-engine

AI-powered energy optimization platform with intelligent consumption analysis, adaptive learning, tariff prediction, and autonomous cost-saving recommendations.

A full-stack constraint optimization platform that automates complex, multidimensional scheduling. Powered by a custom C++ optimization engine and Google OR-Tools (CP-SAT), the system evaluates numerous hard and soft constraints simultaneously to generate conflict-free, highly optimized schedules in seconds.

A high-performance optimization engine designed to solve complex combinatorial problems. This solver implements custom selection, crossover, and mutation strategies to evolve optimal solutions for tasks like scheduling, resource allocation, and pathfinding.

Proof of Concept — Universal Optimization Engine (QαT)