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001. Part 1. Deterministic search algorithms.mp4
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MP4
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6.3 MB
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002. Chapter 1. Introduction to search and optimization.mp4
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MP4
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24.2 MB
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003. Chapter 1. Going from toy problems to the real world.mp4
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MP4
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7.9 MB
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004. Chapter 1. Basic ingredients of optimization problems.mp4
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MP4
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26.8 MB
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005. Chapter 1. Well-structured problems vs. ill-structured problems.mp4
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MP4
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22.4 MB
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006. Chapter 1. Search algorithms and the search dilemma.mp4
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MP4
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7.5 MB
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007. Chapter 1. Summary.mp4
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MP4
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5.5 MB
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008. Chapter 2. A deeper look at search and optimization.mp4
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MP4
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168.4 MB
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009. Chapter 2. Classifying search and optimization algorithms.mp4
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MP4
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21.8 MB
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010. Chapter 2. Heuristics and metaheuristics.mp4
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MP4
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35.1 MB
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011. Chapter 2. Nature-inspired algorithms.mp4
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MP4
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18.4 MB
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012. Chapter 2. Summary.mp4
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MP4
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5.5 MB
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013. Chapter 3. Blind search algorithms.mp4
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MP4
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44.7 MB
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014. Chapter 3. Graph search.mp4
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MP4
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11.6 MB
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015. Chapter 3. Graph traversal algorithms.mp4
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MP4
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49.4 MB
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016. Chapter 3. Shortest path algorithms.mp4
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MP4
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28.5 MB
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017. Chapter 3. Applying blind search to the routing problem.mp4
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MP4
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23.4 MB
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018. Chapter 3. Summary.mp4
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MP4
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6.5 MB
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019. Chapter 4. Informed search algorithms.mp4
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MP4
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12.3 MB
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020. Chapter 4. Minimum spanning tree algorithms.mp4
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MP4
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23.9 MB
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021. Chapter 4. Shortest path algorithms.mp4
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MP4
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126.4 MB
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022. Chapter 4. Applying informed search to a routing problem.mp4
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MP4
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42.3 MB
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023. Chapter 4. Summary.mp4
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MP4
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6.7 MB
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024. Part 2. Trajectory-based algorithms.mp4
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MP4
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4.9 MB
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025. Chapter 5. Simulated annealing.mp4
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MP4
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10.7 MB
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026. Chapter 5. The simulated annealing algorithm.mp4
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MP4
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75.3 MB
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027. Chapter 5. Function optimization.mp4
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MP4
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35.7 MB
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028. Chapter 5. Solving Sudoku.mp4
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MP4
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22.5 MB
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029. Chapter 5. Solving TSP.mp4
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MP4
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26.8 MB
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030. Chapter 5. Solving a delivery semi-truck routing problem.mp4
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MP4
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20.3 MB
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031. Chapter 5. Summary.mp4
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MP4
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7.2 MB
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032. Chapter 6. Tabu search.mp4
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MP4
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17 MB
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033. Chapter 6. Tabu search algorithm.mp4
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MP4
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49.7 MB
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034. Chapter 6. Solving constraint satisfaction problems.mp4
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MP4
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15.1 MB
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035. Chapter 6. Solving continuous problems.mp4
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MP4
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9.7 MB
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036. Chapter 6. Solving TSP and routing problems.mp4
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MP4
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36.1 MB
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037. Chapter 6. Assembly line balancing problem.mp4
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MP4
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45.9 MB
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038. Chapter 6. Summary.mp4
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MP4
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4 MB
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039. Part 3. Evolutionary computing algorithms.mp4
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MP4
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4.9 MB
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040. Chapter 7. Genetic algorithms.mp4
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MP4
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38.7 MB
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041. Chapter 7. Introducing evolutionary computation.mp4
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MP4
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28.5 MB
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042. Chapter 7. Genetic algorithm building blocks.mp4
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MP4
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51.4 MB
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043. Chapter 7. Implementing genetic algorithms in Python.mp4
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MP4
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40.2 MB
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044. Chapter 7. Summary.mp4
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MP4
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9.6 MB
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045. Chapter 8. Genetic algorithm variants.mp4
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MP4
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18.5 MB
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046. Chapter 8. Real-valued GA.mp4
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MP4
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48 MB
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047. Chapter 8. Permutation-based GA.mp4
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MP4
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27.5 MB
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048. Chapter 8. Multi-objective optimization.mp4
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MP4
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20.3 MB
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049. Chapter 8. Adaptive GA.mp4
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MP4
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11 MB
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050. Chapter 8. Solving the traveling salesman problem.mp4
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MP4
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8.4 MB
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051. Chapter 8. PID tuning problem.mp4
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MP4
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24.3 MB
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052. Chapter 8. Political districting problem.mp4
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MP4
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27.3 MB
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053. Chapter 8. Summary.mp4
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MP4
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7.8 MB
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054. Part 4. Swarm intelligence algorithms.mp4
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MP4
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5.4 MB
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055. Chapter 9. Particle swarm optimization.mp4
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MP4
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40 MB
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056. Chapter 9. Continuous PSO.mp4
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MP4
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81.3 MB
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057. Chapter 9. Binary PSO.mp4
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MP4
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11.8 MB
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058. Chapter 9. Permutation-based PSO.mp4
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MP4
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7.3 MB
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059. Chapter 9. Adaptive PSO.mp4
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MP4
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14.9 MB
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060. Chapter 9. Solving the traveling salesman problem.mp4
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MP4
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14.9 MB
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061. Chapter 9. Neural network training using PSO.mp4
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MP4
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71.1 MB
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062. Chapter 9. Summary.mp4
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MP4
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3.8 MB
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063. Chapter 10. Other swarm intelligence algorithms to explore.mp4
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MP4
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29.9 MB
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064. Chapter 10. ACO metaheuristics.mp4
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MP4
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21.4 MB
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065. Chapter 10. ACO variants.mp4
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MP4
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67.7 MB
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066. Chapter 10. From hive to optimization.mp4
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MP4
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31 MB
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067. Chapter 10. Exploring the artificial bee colony algorithm.mp4
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MP4
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38.7 MB
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068. Chapter 10. Summary.mp4
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MP4
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8.4 MB
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069. Part 5. Machine learning-based methods.mp4
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MP4
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5.4 MB
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070. Chapter 11. Supervised and unsupervised learning.mp4
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MP4
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18 MB
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071. Chapter 11. Demystifying machine learning.mp4
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MP4
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26.7 MB
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072. Chapter 11. Machine learning with graphs.mp4
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MP4
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122.7 MB
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073. Chapter 11. Self-organizing maps.mp4
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MP4
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12.3 MB
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074. Chapter 11. Machine learning for optimization problems.mp4
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MP4
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19 MB
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075. Chapter 11. Solving function optimization using supervised machine learning.mp4
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MP4
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18 MB
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076. Chapter 11. Solving TSP using supervised graph machine learning.mp4
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MP4
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39.2 MB
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077. Chapter 11. Solving TSP using unsupervised machine learning.mp4
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MP4
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8.1 MB
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078. Chapter 11. Finding a convex hull.mp4
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MP4
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36.5 MB
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079. Chapter 11. Summary.mp4
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MP4
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6.9 MB
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080. Chapter 12. Reinforcement learning.mp4
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MP4
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135.9 MB
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081. Chapter 12. Optimization with reinforcement learning.mp4
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MP4
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23.3 MB
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082. Chapter 12. Balancing CartPole using A2C and PPO.mp4
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MP4
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50.3 MB
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083. Chapter 12. Autonomous coordination in mobile networks using PPO.mp4
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MP4
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19.9 MB
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084. Chapter 12. Solving the truck selection problem using contextual bandits.mp4
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MP4
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32 MB
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085. Chapter 12. Journey s end A final reflection.mp4
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MP4
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6.1 MB
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086. Chapter 12. Summary.mp4
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MP4
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10.2 MB
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087. Appendix A. Search and optimization libraries in Python.mp4
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MP4
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16.7 MB
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088. Appendix A. Mathematical programming solvers.mp4
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MP4
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27.7 MB
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089. Appendix A. Graph and mapping libraries.mp4
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MP4
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49.2 MB
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090. Appendix A. Metaheuristics optimization libraries.mp4
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MP4
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34.8 MB
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091. Appendix A. Machine learning libraries.mp4
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MP4
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34 MB
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092. Appendix A. Projects.mp4
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MP4
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5.7 MB
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093. Appendix B. Benchmarks and datasets.mp4
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MP4
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7.9 MB
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094. Appendix B. Combinatorial optimization benchmark datasets.mp4
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MP4
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10.5 MB
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095. Appendix B. Geospatial datasets.mp4
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MP4
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3.8 MB
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096. Appendix B. Machine learning datasets.mp4
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MP4
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4.9 MB
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097. Appendix B. Data folder.mp4
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MP4
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6.2 MB
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098. Appendix C. Exercises and solutions.mp4
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MP4
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34.4 MB
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099. Appendix C. Chapter 3 Blind search algorithms.mp4
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MP4
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17.9 MB
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100. Appendix C. Chapter 4 Informed search algorithms.mp4
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MP4
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19.7 MB
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101. Appendix C. Chapter 5 Simulated annealing.mp4
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MP4
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25.9 MB
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102. Appendix C. Chapter 6 Tabu search.mp4
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MP4
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26.5 MB
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103. Appendix C. Chapter 7 Genetic algorithm.mp4
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MP4
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27.2 MB
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104. Appendix C. Chapter 8 Genetic algorithm variants.mp4
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MP4
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34.4 MB
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105. Appendix C. Chapter 9 Particle swarm optimization.mp4
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MP4
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59.3 MB
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106. Appendix C. Chapter 10 Other swarm intelligence algorithms to explore.mp4
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MP4
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32.8 MB
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107. Appendix C. Chapter 11 Supervised and unsupervised learning.mp4
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MP4
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20.4 MB
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108. Appendix C. Chapter 12 Reinforcement learning.mp4
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MP4
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61.9 MB
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Bonus Resources.txt
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TXT
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409.6 B
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|
Get Bonus Downloads Here.url
|
URL
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204.8 B
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