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[ DevCourseWeb Com ] Oreilly - Optimization Algorithms, Video Edition

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Title: OreillyGroup: NOGRPSource: Oreilly
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8D9D4F7AAEB56CFF5ED7F44B1DD53EC5DFCBA2B4
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Unverified
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3 GB
Total Files
100
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1
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0
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File List

FileSize
Get Bonus Downloads Here.url182 B
~Get Your Files Here !/001. Part 1. Deterministic search algorithms.mp46.27 MB
~Get Your Files Here !/002. Chapter 1. Introduction to search and optimization.mp424.18 MB
~Get Your Files Here !/003. Chapter 1. Going from toy problems to the real world.mp47.93 MB
~Get Your Files Here !/004. Chapter 1. Basic ingredients of optimization problems.mp426.81 MB
~Get Your Files Here !/005. Chapter 1. Well-structured problems vs. ill-structured problems.mp422.38 MB
~Get Your Files Here !/006. Chapter 1. Search algorithms and the search dilemma.mp47.54 MB
~Get Your Files Here !/007. Chapter 1. Summary.mp45.5 MB
~Get Your Files Here !/008. Chapter 2. A deeper look at search and optimization.mp4168.39 MB
~Get Your Files Here !/009. Chapter 2. Classifying search and optimization algorithms.mp421.8 MB
~Get Your Files Here !/010. Chapter 2. Heuristics and metaheuristics.mp435.08 MB
~Get Your Files Here !/011. Chapter 2. Nature-inspired algorithms.mp418.45 MB
~Get Your Files Here !/012. Chapter 2. Summary.mp45.52 MB
~Get Your Files Here !/013. Chapter 3. Blind search algorithms.mp444.66 MB
~Get Your Files Here !/014. Chapter 3. Graph search.mp411.62 MB
~Get Your Files Here !/015. Chapter 3. Graph traversal algorithms.mp449.37 MB
~Get Your Files Here !/016. Chapter 3. Shortest path algorithms.mp428.48 MB
~Get Your Files Here !/017. Chapter 3. Applying blind search to the routing problem.mp423.42 MB
~Get Your Files Here !/018. Chapter 3. Summary.mp46.51 MB
~Get Your Files Here !/019. Chapter 4. Informed search algorithms.mp412.34 MB
~Get Your Files Here !/020. Chapter 4. Minimum spanning tree algorithms.mp423.92 MB
~Get Your Files Here !/021. Chapter 4. Shortest path algorithms.mp4126.36 MB
~Get Your Files Here !/022. Chapter 4. Applying informed search to a routing problem.mp442.32 MB
~Get Your Files Here !/023. Chapter 4. Summary.mp46.74 MB
~Get Your Files Here !/024. Part 2. Trajectory-based algorithms.mp44.91 MB
~Get Your Files Here !/025. Chapter 5. Simulated annealing.mp410.67 MB
~Get Your Files Here !/026. Chapter 5. The simulated annealing algorithm.mp475.27 MB
~Get Your Files Here !/027. Chapter 5. Function optimization.mp435.7 MB
~Get Your Files Here !/028. Chapter 5. Solving Sudoku.mp422.53 MB
~Get Your Files Here !/029. Chapter 5. Solving TSP.mp426.77 MB
~Get Your Files Here !/030. Chapter 5. Solving a delivery semi-truck routing problem.mp420.31 MB
~Get Your Files Here !/031. Chapter 5. Summary.mp47.21 MB
~Get Your Files Here !/032. Chapter 6. Tabu search.mp417.04 MB
~Get Your Files Here !/033. Chapter 6. Tabu search algorithm.mp449.7 MB
~Get Your Files Here !/034. Chapter 6. Solving constraint satisfaction problems.mp415.11 MB
~Get Your Files Here !/035. Chapter 6. Solving continuous problems.mp49.75 MB
~Get Your Files Here !/036. Chapter 6. Solving TSP and routing problems.mp436.1 MB
~Get Your Files Here !/037. Chapter 6. Assembly line balancing problem.mp445.89 MB
~Get Your Files Here !/038. Chapter 6. Summary.mp43.99 MB
~Get Your Files Here !/039. Part 3. Evolutionary computing algorithms.mp44.95 MB
~Get Your Files Here !/040. Chapter 7. Genetic algorithms.mp438.68 MB
~Get Your Files Here !/041. Chapter 7. Introducing evolutionary computation.mp428.48 MB
~Get Your Files Here !/042. Chapter 7. Genetic algorithm building blocks.mp451.36 MB
~Get Your Files Here !/043. Chapter 7. Implementing genetic algorithms in Python.mp440.21 MB
~Get Your Files Here !/044. Chapter 7. Summary.mp49.6 MB
~Get Your Files Here !/045. Chapter 8. Genetic algorithm variants.mp418.5 MB
~Get Your Files Here !/046. Chapter 8. Real-valued GA.mp448.03 MB
~Get Your Files Here !/047. Chapter 8. Permutation-based GA.mp427.5 MB
~Get Your Files Here !/048. Chapter 8. Multi-objective optimization.mp420.26 MB
~Get Your Files Here !/049. Chapter 8. Adaptive GA.mp410.95 MB
~Get Your Files Here !/050. Chapter 8. Solving the traveling salesman problem.mp48.39 MB
~Get Your Files Here !/051. Chapter 8. PID tuning problem.mp424.28 MB
~Get Your Files Here !/052. Chapter 8. Political districting problem.mp427.27 MB
~Get Your Files Here !/053. Chapter 8. Summary.mp47.76 MB
~Get Your Files Here !/054. Part 4. Swarm intelligence algorithms.mp45.42 MB
~Get Your Files Here !/055. Chapter 9. Particle swarm optimization.mp440.03 MB
~Get Your Files Here !/056. Chapter 9. Continuous PSO.mp481.34 MB
~Get Your Files Here !/057. Chapter 9. Binary PSO.mp411.81 MB
~Get Your Files Here !/058. Chapter 9. Permutation-based PSO.mp47.34 MB
~Get Your Files Here !/059. Chapter 9. Adaptive PSO.mp414.86 MB
~Get Your Files Here !/060. Chapter 9. Solving the traveling salesman problem.mp414.89 MB
~Get Your Files Here !/061. Chapter 9. Neural network training using PSO.mp471.08 MB
~Get Your Files Here !/062. Chapter 9. Summary.mp43.83 MB
~Get Your Files Here !/063. Chapter 10. Other swarm intelligence algorithms to explore.mp429.85 MB
~Get Your Files Here !/064. Chapter 10. ACO metaheuristics.mp421.36 MB
~Get Your Files Here !/065. Chapter 10. ACO variants.mp467.73 MB
~Get Your Files Here !/066. Chapter 10. From hive to optimization.mp431 MB
~Get Your Files Here !/067. Chapter 10. Exploring the artificial bee colony algorithm.mp438.68 MB
~Get Your Files Here !/068. Chapter 10. Summary.mp48.42 MB
~Get Your Files Here !/069. Part 5. Machine learning-based methods.mp45.45 MB
~Get Your Files Here !/070. Chapter 11. Supervised and unsupervised learning.mp418.01 MB
~Get Your Files Here !/071. Chapter 11. Demystifying machine learning.mp426.71 MB
~Get Your Files Here !/072. Chapter 11. Machine learning with graphs.mp4122.75 MB
~Get Your Files Here !/073. Chapter 11. Self-organizing maps.mp412.34 MB
~Get Your Files Here !/074. Chapter 11. Machine learning for optimization problems.mp418.98 MB
~Get Your Files Here !/075. Chapter 11. Solving function optimization using supervised machine learning.mp418 MB
~Get Your Files Here !/076. Chapter 11. Solving TSP using supervised graph machine learning.mp439.15 MB
~Get Your Files Here !/077. Chapter 11. Solving TSP using unsupervised machine learning.mp48.11 MB
~Get Your Files Here !/078. Chapter 11. Finding a convex hull.mp436.54 MB
~Get Your Files Here !/079. Chapter 11. Summary.mp46.93 MB
~Get Your Files Here !/080. Chapter 12. Reinforcement learning.mp4135.87 MB
~Get Your Files Here !/081. Chapter 12. Optimization with reinforcement learning.mp423.34 MB
~Get Your Files Here !/082. Chapter 12. Balancing CartPole using A2C and PPO.mp450.33 MB
~Get Your Files Here !/083. Chapter 12. Autonomous coordination in mobile networks using PPO.mp419.88 MB
~Get Your Files Here !/084. Chapter 12. Solving the truck selection problem using contextual bandits.mp432.02 MB
~Get Your Files Here !/085. Chapter 12. Journey s end A final reflection.mp46.06 MB
~Get Your Files Here !/086. Chapter 12. Summary.mp410.17 MB
~Get Your Files Here !/087. Appendix A. Search and optimization libraries in Python.mp416.67 MB
~Get Your Files Here !/088. Appendix A. Mathematical programming solvers.mp427.69 MB
~Get Your Files Here !/089. Appendix A. Graph and mapping libraries.mp449.2 MB
~Get Your Files Here !/090. Appendix A. Metaheuristics optimization libraries.mp434.75 MB
~Get Your Files Here !/091. Appendix A. Machine learning libraries.mp434.03 MB
~Get Your Files Here !/092. Appendix A. Projects.mp45.7 MB
~Get Your Files Here !/093. Appendix B. Benchmarks and datasets.mp47.91 MB
~Get Your Files Here !/094. Appendix B. Combinatorial optimization benchmark datasets.mp410.49 MB
~Get Your Files Here !/095. Appendix B. Geospatial datasets.mp43.85 MB
~Get Your Files Here !/096. Appendix B. Machine learning datasets.mp44.86 MB
~Get Your Files Here !/097. Appendix B. Data folder.mp46.23 MB
~Get Your Files Here !/098. Appendix C. Exercises and solutions.mp434.41 MB
~Get Your Files Here !/099. Appendix C. Chapter 3 Blind search algorithms.mp417.91 MB

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