PirateBay Download | khamis optimization algorithms meap v12 2024

khamis optimization algorithms meap v12 2024

Type:: E-books
Files:: 1
Size:: 75.5 MB
Uploaded On:: April 10, 2024, 12:41 p.m.
Added By:: andryold1
Seeders:: 7
Leechers:: 1
Info Hash:: 6E9838755682F1B1078B42C45772629B98B300CA

Textbook in PDF format Solve design, planning, and control problems using modern machine learning and AI techniques. In Optimization Algorithms: AI techniques for design, planning, and control problems you will learn: Machine learning methods for search and optimization problems The core concepts of search and optimization Deterministic and stochastic optimization techniques Graph search algorithms Nature-inspired search and optimization algorithms Efficient trade-offs between search space exploration and exploitation State-of-the-art Python libraries for search and optimization Optimization problems are everywhere in daily life. What’s the fastest route from one place to another? How do you calculate the optimal price for a product? How should you plant crops, allocate resources, and schedule surgeries? Optimization Algorithms introduces the AI algorithms that can solve these complex and poorly-structured problems. Inside you’ll find a wide range of optimization methods, from deterministic and stochastic derivative-free optimization to nature-inspired search algorithms and machine learning methods. Don’t worry—there’s no complex mathematical notation. You’ll learn through in-depth case studies that cut through academic complexity to demonstrate how each algorithm works in the real world. about the technology Search and optimization algorithms are powerful tools that can help practitioners find optimal or near-optimal solutions to a wide range of design, planning and control problems. When you open a route planning app, call for a rideshare, or schedule a hospital appointment, an AI algorithm works behind the scenes to make sure you get an optimized result. This guide reveals the classical and modern algorithms behind these services. welcome Introduction_to_Search_and_Optimization A_Deeper_Look_at_Search_and_Optimization Blind_Search_Algorithms Informed_Search_Algorithms Simulated_Annealing Tabu_Search Genetic_Algorithm Genetic_Algorithm_Variants Particle_Swarm_Optimization Other_Swarm_Intelligence_Algorithms_to_Explore Supervised_and_Unsupervised_Learning Reinforcement_Learning Appendix_A._Search_and_Optimization_Libraries_in_Python Appendix_B._Benchmarks_and_Datasets Appendix_C._Exercises_and_Solutions

Get This Torrent

Khamis A. Optimization Algorithms (MEAP v12) 2024.pdf 75.5 MB

Details for: Khamis A. Optimization Algorithms (MEAP v12) 2024

khamis optimization algorithms meap v12 2024

Similar Posts: