[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8},"actionData","errors","root",{"_28":-5,"_38":-5,"_39":40,"_41":42,"_43":44,"_45":46,"_47":48,"_49":50,"_51":52,"_53":54,"_55":56,"_57":58},"routes/_store+/_readers+/email_author.$slug/route",{"_9":10,"_11":-5},"book",{"_12":13,"_14":15,"_16":17,"_18":19,"_20":21,"_22":23},"currentUser","id","Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6Qm9va1Byb2R1Y3QvODA2MTg","title","Linear Programming and AI Optimization Models VOL-3","state","published","contactAuthorMethod","email","aboutText","

Linear Programming and AI Optimization Models: Foundations, Algorithms, and Modern Applications in Operations Research and Machine Learning (VOL-3) completes the comprehensive three-volume series by focusing on practical, large-scale, and emerging applications of optimization in real-world systems.

This final volume emphasizes applied optimization in scheduling, supply chain and logistics, hybrid AI-OR models, large-scale distributed systems, and cutting-edge research trends. It bridges theory with practice through extensive Python implementations, rich case studies across industries, and forward-looking discussions on quantum optimization, LLM-assisted methods, and sustainable AI systems.

Key Features:

In-depth coverage of scheduling, resource allocation, vehicle routing, and supply chain optimization
Modern frameworks including Bayesian Optimization, Hybrid OR-ML models, and Neuro-Symbolic approaches
Practical implementation chapter with Python tools (PuLP, OR-Tools, CP-SAT, PyTorch, etc.)
Real-world case studies from airline, healthcare, e-commerce, manufacturing, and robotics
Exploration of emerging trends: Quantum Optimization, Differentiable Programming, Multi-Agent Systems, and Sustainability

This volume is ideal for practitioners, researchers, and advanced students who want to apply powerful optimization techniques to solve complex industrial and AI problems while staying ahead of future developments.

Together with Volume-1 (Foundations) and Volume-2 (AI-Driven Models), this series provides one of the most complete resources available on optimization for Operations Research and Machine Learning.

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Kick off your book project, get started with GhostAI, get better at marketing, or spend the day doing all three! Free live workshops on Zoom. Saturday, June 27, 2026.

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