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Language:
English
Total Size:
3.0 GB
Info Hash:
8D9D4F7AAEB56CFF5ED7F44B1DD53EC5DFCBA2B4
Added By:
Added:
Dec. 2, 2024, 3:43 p.m.
Stats:
|
(Last updated: April 30, 2025, 8:50 a.m.)
| File | Size |
|---|---|
| Get Bonus Downloads Here.url | 182 bytes |
| 001. Part 1. Deterministic search algorithms.mp4 | 6.3 MB |
| 002. Chapter 1. Introduction to search and optimization.mp4 | 24.2 MB |
| 003. Chapter 1. Going from toy problems to the real world.mp4 | 7.9 MB |
| 004. Chapter 1. Basic ingredients of optimization problems.mp4 | 26.8 MB |
| 005. Chapter 1. Well-structured problems vs. ill-structured problems.mp4 | 22.4 MB |
| 006. Chapter 1. Search algorithms and the search dilemma.mp4 | 7.5 MB |
| 007. Chapter 1. Summary.mp4 | 5.5 MB |
| 008. Chapter 2. A deeper look at search and optimization.mp4 | 168.4 MB |
| 009. Chapter 2. Classifying search and optimization algorithms.mp4 | 21.8 MB |
| 010. Chapter 2. Heuristics and metaheuristics.mp4 | 35.1 MB |
| 011. Chapter 2. Nature-inspired algorithms.mp4 | 18.4 MB |
| 012. Chapter 2. Summary.mp4 | 5.5 MB |
| 013. Chapter 3. Blind search algorithms.mp4 | 44.7 MB |
| 014. Chapter 3. Graph search.mp4 | 11.6 MB |
| 015. Chapter 3. Graph traversal algorithms.mp4 | 49.4 MB |
| 016. Chapter 3. Shortest path algorithms.mp4 | 28.5 MB |
| 017. Chapter 3. Applying blind search to the routing problem.mp4 | 23.4 MB |
| 018. Chapter 3. Summary.mp4 | 6.5 MB |
| 019. Chapter 4. Informed search algorithms.mp4 | 12.3 MB |
| 020. Chapter 4. Minimum spanning tree algorithms.mp4 | 23.9 MB |
| 021. Chapter 4. Shortest path algorithms.mp4 | 126.4 MB |
| 022. Chapter 4. Applying informed search to a routing problem.mp4 | 42.3 MB |
| 023. Chapter 4. Summary.mp4 | 6.7 MB |
| 024. Part 2. Trajectory-based algorithms.mp4 | 4.9 MB |
| 025. Chapter 5. Simulated annealing.mp4 | 10.7 MB |
| 026. Chapter 5. The simulated annealing algorithm.mp4 | 75.3 MB |
| 027. Chapter 5. Function optimization.mp4 | 35.7 MB |
| 028. Chapter 5. Solving Sudoku.mp4 | 22.5 MB |
| 029. Chapter 5. Solving TSP.mp4 | 26.8 MB |
| 030. Chapter 5. Solving a delivery semi-truck routing problem.mp4 | 20.3 MB |
| 031. Chapter 5. Summary.mp4 | 7.2 MB |
| 032. Chapter 6. Tabu search.mp4 | 17.0 MB |
| 033. Chapter 6. Tabu search algorithm.mp4 | 49.7 MB |
| 034. Chapter 6. Solving constraint satisfaction problems.mp4 | 15.1 MB |
| 035. Chapter 6. Solving continuous problems.mp4 | 9.7 MB |
| 036. Chapter 6. Solving TSP and routing problems.mp4 | 36.1 MB |
| 037. Chapter 6. Assembly line balancing problem.mp4 | 45.9 MB |
| 038. Chapter 6. Summary.mp4 | 4.0 MB |
| 039. Part 3. Evolutionary computing algorithms.mp4 | 4.9 MB |
| 040. Chapter 7. Genetic algorithms.mp4 | 38.7 MB |
| 041. Chapter 7. Introducing evolutionary computation.mp4 | 28.5 MB |
| 042. Chapter 7. Genetic algorithm building blocks.mp4 | 51.4 MB |
| 043. Chapter 7. Implementing genetic algorithms in Python.mp4 | 40.2 MB |
| 044. Chapter 7. Summary.mp4 | 9.6 MB |
| 045. Chapter 8. Genetic algorithm variants.mp4 | 18.5 MB |
| 046. Chapter 8. Real-valued GA.mp4 | 48.0 MB |
| 047. Chapter 8. Permutation-based GA.mp4 | 27.5 MB |
| 048. Chapter 8. Multi-objective optimization.mp4 | 20.3 MB |
| 049. Chapter 8. Adaptive GA.mp4 | 11.0 MB |
| 050. Chapter 8. Solving the traveling salesman problem.mp4 | 8.4 MB |
| 051. Chapter 8. PID tuning problem.mp4 | 24.3 MB |
| 052. Chapter 8. Political districting problem.mp4 | 27.3 MB |
| 053. Chapter 8. Summary.mp4 | 7.8 MB |
| 054. Part 4. Swarm intelligence algorithms.mp4 | 5.4 MB |
| 055. Chapter 9. Particle swarm optimization.mp4 | 40.0 MB |
| 056. Chapter 9. Continuous PSO.mp4 | 81.3 MB |
| 057. Chapter 9. Binary PSO.mp4 | 11.8 MB |
| 058. Chapter 9. Permutation-based PSO.mp4 | 7.3 MB |
| 059. Chapter 9. Adaptive PSO.mp4 | 14.9 MB |
| 060. Chapter 9. Solving the traveling salesman problem.mp4 | 14.9 MB |
| 061. Chapter 9. Neural network training using PSO.mp4 | 71.1 MB |
| 062. Chapter 9. Summary.mp4 | 3.8 MB |
| 063. Chapter 10. Other swarm intelligence algorithms to explore.mp4 | 29.9 MB |
| 064. Chapter 10. ACO metaheuristics.mp4 | 21.4 MB |
| 065. Chapter 10. ACO variants.mp4 | 67.7 MB |
| 066. Chapter 10. From hive to optimization.mp4 | 31.0 MB |
| 067. Chapter 10. Exploring the artificial bee colony algorithm.mp4 | 38.7 MB |
| 068. Chapter 10. Summary.mp4 | 8.4 MB |
| 069. Part 5. Machine learning-based methods.mp4 | 5.4 MB |
| 070. Chapter 11. Supervised and unsupervised learning.mp4 | 18.0 MB |
| 071. Chapter 11. Demystifying machine learning.mp4 | 26.7 MB |
| 072. Chapter 11. Machine learning with graphs.mp4 | 122.7 MB |
| 073. Chapter 11. Self-organizing maps.mp4 | 12.3 MB |
| 074. Chapter 11. Machine learning for optimization problems.mp4 | 19.0 MB |
| 075. Chapter 11. Solving function optimization using supervised machine learning.mp4 | 18.0 MB |
| 076. Chapter 11. Solving TSP using supervised graph machine learning.mp4 | 39.2 MB |
| 077. Chapter 11. Solving TSP using unsupervised machine learning.mp4 | 8.1 MB |
| 078. Chapter 11. Finding a convex hull.mp4 | 36.5 MB |
| 079. Chapter 11. Summary.mp4 | 6.9 MB |
| 080. Chapter 12. Reinforcement learning.mp4 | 135.9 MB |
| 081. Chapter 12. Optimization with reinforcement learning.mp4 | 23.3 MB |
| 082. Chapter 12. Balancing CartPole using A2C and PPO.mp4 | 50.3 MB |
| 083. Chapter 12. Autonomous coordination in mobile networks using PPO.mp4 | 19.9 MB |
| 084. Chapter 12. Solving the truck selection problem using contextual bandits.mp4 | 32.0 MB |
| 085. Chapter 12. Journey s end A final reflection.mp4 | 6.1 MB |
| 086. Chapter 12. Summary.mp4 | 10.2 MB |
| 087. Appendix A. Search and optimization libraries in Python.mp4 | 16.7 MB |
| 088. Appendix A. Mathematical programming solvers.mp4 | 27.7 MB |
| 089. Appendix A. Graph and mapping libraries.mp4 | 49.2 MB |
| 090. Appendix A. Metaheuristics optimization libraries.mp4 | 34.8 MB |
| 091. Appendix A. Machine learning libraries.mp4 | 34.0 MB |
| 092. Appendix A. Projects.mp4 | 5.7 MB |
| 093. Appendix B. Benchmarks and datasets.mp4 | 7.9 MB |
| 094. Appendix B. Combinatorial optimization benchmark datasets.mp4 | 10.5 MB |
| 095. Appendix B. Geospatial datasets.mp4 | 3.8 MB |
| 096. Appendix B. Machine learning datasets.mp4 | 4.9 MB |
| 097. Appendix B. Data folder.mp4 | 6.2 MB |
| 098. Appendix C. Exercises and solutions.mp4 | 34.4 MB |
| 099. Appendix C. Chapter 3 Blind search algorithms.mp4 | 17.9 MB |
| 100. Appendix C. Chapter 4 Informed search algorithms.mp4 | 19.7 MB |
| 101. Appendix C. Chapter 5 Simulated annealing.mp4 | 25.9 MB |
| 102. Appendix C. Chapter 6 Tabu search.mp4 | 26.5 MB |
| 103. Appendix C. Chapter 7 Genetic algorithm.mp4 | 27.2 MB |
| 104. Appendix C. Chapter 8 Genetic algorithm variants.mp4 | 34.4 MB |
| 105. Appendix C. Chapter 9 Particle swarm optimization.mp4 | 59.3 MB |
| 106. Appendix C. Chapter 10 Other swarm intelligence algorithms to explore.mp4 | 32.8 MB |
| 107. Appendix C. Chapter 11 Supervised and unsupervised learning.mp4 | 20.4 MB |
| 108. Appendix C. Chapter 12 Reinforcement learning.mp4 | 61.9 MB |
| Bonus Resources.txt | 386 bytes |
Name
DL
Uploader
Size
S/L
Added
-
37.1 MB
[0
/
0]
2023-07-01
| Uploaded by FreeCourseWeb | Size 37.1 MB | Health [ 0 /0 ] | Added 2023-07-01 |
-
3.0 GB
[19
/
3]
2024-12-02
| Uploaded by FreeCourseWeb | Size 3.0 GB | Health [ 19 /3 ] | Added 2024-12-02 |
-
25.9 MB
[34
/
7]
2023-07-01
| Uploaded by indexFroggy | Size 25.9 MB | Health [ 34 /7 ] | Added 2023-07-01 |
NOTE
SOURCE: Optimization Algorithms Video Edition DevCourseWeb
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