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[ DevCourseWeb com ] Udemy - A I and Combinatorial Optimization with Meta-Heuristics
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1. Introduction
1. Introduction.mp4
1. Introduction.srt
2. Slides and source code.html
AStarSearch.py
BreadthFirstSearch.py
DepthFirstSearch.py
DepthFirstSearchRecursion.py
GeneticAlgorithmElitism.py
GeneticAlgorithmKnapsack.py
GeneticAlgorithmNQueens.py
GeneticAlgorithmSequence.py
MazeBFS.py
MazeProblem.py
ParticleSwarmOptimizationFunction.py
SimulatedAnnealingFunction.py
SimulatedAnnealingSudoku.py
SimulatedAnnealingTSP.py
SimulatedAnnelaingTSP.py
WebCrawler.py
__MACOSX
_BreadthFirstSearch.py
_DepthFirstSearch.py
_DepthFirstSearchRecursion.py
_GeneticAlgorithmElitism.py
_GeneticAlgorithmKnapsack.py
_GeneticAlgorithmNQueens.py
_GeneticAlgorithmSequence.py
_MazeBFS.py
_MazeProblem.py
_ParticleSwarmOptimizationFunction.py
_SimulatedAnnealingFunction.py
_SimulatedAnnelaingTSP.py
_WebCrawler.py
_ai.pptx
ai.pptx
10. Simulated Annealing Implementation - Continuous Functions
1. Simulated annealing implementation I.mp4
1. Simulated annealing implementation I.srt
2. Simulated annealing implementation II.mp4
2. Simulated annealing implementation II.srt
3. Simulated annealing implementation III.mp4
3. Simulated annealing implementation III.srt
11. Simulated Annealing Implementation - Combinatorial Optimization
1. What is the travelling salesman problem (TSP).mp4
1. What is the travelling salesman problem (TSP).srt
2. Travelling salesman problem implementation I.mp4
2. Travelling salesman problem implementation I.srt
3. Travelling salesman problem implementation II.mp4
3. Travelling salesman problem implementation II.srt
4. Travelling salesman problem implementation III.mp4
4. Travelling salesman problem implementation III.srt
5. Travelling salesman problem implementation IV.mp4
5. Travelling salesman problem implementation IV.srt
12. Simulated Annealing Implementation - Sudoku
1. What is the Sudoku problem.mp4
1. What is the Sudoku problem.srt
2. Sudoku problem implementation I.mp4
2. Sudoku problem implementation I.srt
3. Sudoku problem implementation II.mp4
3. Sudoku problem implementation II.srt
4. Sudoku problem implementation III.mp4
4. Sudoku problem implementation III.srt
5. Sudoku problem implementation IV.mp4
5. Sudoku problem implementation IV.srt
13. Genetic Algorithms
1. Genetic algorithms introduction - basics.mp4
1. Genetic algorithms introduction - basics.srt
2. Genetic algorithms introduction - chromosomes.mp4
2. Genetic algorithms introduction - chromosomes.srt
3. Genetic algorithms introduction - crossover.mp4
3. Genetic algorithms introduction - crossover.srt
4. Genetic algorithms introduction - mutation.mp4
4. Genetic algorithms introduction - mutation.srt
5. Genetic algorithms introduction - selection.mp4
5. Genetic algorithms introduction - selection.srt
6. Genetic algorithms introduction - the algorithm.mp4
6. Genetic algorithms introduction - the algorithm.srt
7. What is elitism.mp4
7. What is elitism.srt
8. Advantages and limitations of genetic algorithms.mp4
8. Advantages and limitations of genetic algorithms.srt
9. Genetic Algorithms Quiz.html
14. Genetic Algorithms Implementation - Simple Example
1. Genetic algorithm implementation I.mp4
1. Genetic algorithm implementation I.srt
2. Genetic algorithm implementation II.mp4
2. Genetic algorithm implementation II.srt
3. Genetic algorithm implementation III.mp4
3. Genetic algorithm implementation III.srt
4. Genetic algorithm implementation IV.mp4
4. Genetic algorithm implementation IV.srt
5. Genetic algorithm implementation V - elitism.mp4
5. Genetic algorithm implementation V - elitism.srt
15. Genetic Algorithms Implementation - Constraint Satisfaction Problems
1. What is the N-queens problem.mp4
1. What is the N-queens problem.srt
2. N queens problem implementation I.mp4
2. N queens problem implementation I.srt
3. N queens problem implementation II.mp4
3. N queens problem implementation II.srt
16. Challenge #3 - Knapsack Problem
1. Course challenge #3 - knapsack problem overview.html
2. What is the knapsack problem.mp4
2. What is the knapsack problem.srt
3. Knapsack problem implementation.mp4
3. Knapsack problem implementation.srt
17. Particle Swarm Optimization
1. What is swarm intelligence.mp4
1. What is swarm intelligence.srt
2. Particle swarm optimization introduction - basics.mp4
2. Particle swarm optimization introduction - basics.srt
3. Particle swarm optimization introduction - the algorithm.mp4
3. Particle swarm optimization introduction - the algorithm.srt
4. Exploration and exploitation trade-off.mp4
4. Exploration and exploitation trade-off.srt
5. Particle Swarm Optimization Quiz.html
18. Particle Swarm Optimization - Simple Example
1. Particle swarm optimization implementation I.mp4
1. Particle swarm optimization implementation I.srt
2. Particle swarm optimization implementation II.mp4
2. Particle swarm optimization implementation II.srt
3. Particle swarm optimization implementation III.mp4
3. Particle swarm optimization implementation III.srt
19. ### APPENDIX - PYTHON PROGRAMMING CRASH COURSE ###
1. Python crash course introduction.html
2. ### GRAPH ALGORITHMS ###
1. Why to consider graph algorithms.mp4
1. Why to consider graph algorithms.srt
20. Appendix #1 - Python Basics
1. First steps in Python.mp4
1. First steps in Python.srt
10. Exercise conditional statements.html
11. Solution conditional statements.html
12. Logical operators.mp4
12. Logical operators.srt
13. Loops - for loop.mp4
13. Loops - for loop.srt
14. Loops - while loop.mp4
14. Loops - while loop.srt
15. Exercise calculating the average.html
16. Solution calculating the average.html
17. What are nested loops.mp4
17. What are nested loops.srt
18. Enumerate.mp4
18. Enumerate.srt
19. Break and continue.mp4
19. Break and continue.srt
2. What are the basic data types.mp4
2. What are the basic data types.srt
20. Calculating Fibonacci-numbers.mp4
20. Calculating Fibonacci-numbers.srt
21. Exercise Fibonacci-numbers.html
22. Solution Fibonacci-numbers.html
3. Booleans.mp4
3. Booleans.srt
4. Strings.mp4
4. Strings.srt
5. String slicing.mp4
5. String slicing.srt
6. Type casting.mp4
6. Type casting.srt
7. Operators.mp4
7. Operators.srt
8. Conditional statements.mp4
8. Conditional statements.srt
9. How to use multiple conditions.mp4
9. How to use multiple conditions.srt
21. Appendix #2 - Functions
1. What are functions.mp4
1. What are functions.srt
10. What are the most relevant built-in functions.mp4
10. What are the most relevant built-in functions.srt
11. What is recursion.mp4
11. What is recursion.srt
12. Exercise recursion.html
13. Solution recursion.html
14. Local vs global variables.mp4
14. Local vs global variables.srt
15. The __main__ function.mp4
15. The __main__ function.srt
2. Defining functions.mp4
2. Defining functions.srt
3. Positional arguments and keyword arguments.mp4
3. Positional arguments and keyword arguments.srt
4. Returning values.mp4
4. Returning values.srt
5. Returning multiple values.mp4
5. Returning multiple values.srt
6. Exercise functions.html
7. Solution functions.html
8. Yield operator.mp4
8. Yield operator.srt
9. Local and global variables.mp4
9. Local and global variables.srt
22. Appendix #3 - Data Structures in Python
1. How to measure the running time of algorithms.mp4
1. How to measure the running time of algorithms.srt
10. Solution list comprehension.html
11. Measuring running time of lists.html
12. What are tuples.mp4
12. What are tuples.srt
13. Mutability and immutability.mp4
13. Mutability and immutability.srt
14. What are linked list data structures.mp4
14. What are linked list data structures.srt
15. Doubly linked list implementation in Python.mp4
15. Doubly linked list implementation in Python.srt
16. Hashing and O(1) running time complexity.mp4
16. Hashing and O(1) running time complexity.srt
17. Dictionaries in Python.mp4
17. Dictionaries in Python.srt
18. Sets in Python.mp4
18. Sets in Python.srt
19. Exercise constructing dictionaries.html
2. Data structures introduction.mp4
2. Data structures introduction.srt
20. Solution constructing dictionaries.html
21. Sorting.mp4
21. Sorting.srt
3. What are array data structures I.mp4
3. What are array data structures I.srt
4. What are array data structures II.mp4
4. What are array data structures II.srt
5. Lists in Python.mp4
5. Lists in Python.srt
6. Lists in Python - advanced operations.mp4
6. Lists in Python - advanced operations.srt
7. Lists in Python - list comprehension.mp4
7. Lists in Python - list comprehension.srt
8. (!!!) Python lists and arrays.html
9. Exercise list comprehension.html
23. Appendix #4 - Object Oriented Programming (OOP)
1. What is object oriented programming (OOP).mp4
1. What is object oriented programming (OOP).srt
10. Function (method) override.mp4
10. Function (method) override.srt
11. What is polymorphism.mp4
11. What is polymorphism.srt
12. Polymorphism and abstraction example.mp4
12. Polymorphism and abstraction example.srt
13. Exercise abstraction.html
14. Solution abstraction.html
15. Modules.mp4
15. Modules.srt
16. The __str__ function.mp4
16. The __str__ function.srt
17. Comparing objects - overriding functions.mp4
17. Comparing objects - overriding functions.srt
2. Class and objects basics.mp4
2. Class and objects basics.srt
3. Using the constructor.mp4
3. Using the constructor.srt
4. Class variables and instance variables.mp4
4. Class variables and instance variables.srt
5. Exercise constructing classes.html
6. Solution constructing classes.html
7. Private variables and name mangling.mp4
7. Private variables and name mangling.srt
8. What is inheritance in OOP.mp4
8. What is inheritance in OOP.srt
9. The super keyword.mp4
9. The super keyword.srt
24. Appendix #5 - NumPy
1. What is the key advantage of NumPy.mp4
1. What is the key advantage of NumPy.srt
10. Filter.mp4
10. Filter.srt
11. Running time comparison arrays and lists.html
2. Creating and updating arrays.mp4
2. Creating and updating arrays.srt
3. Dimension of arrays.mp4
3. Dimension of arrays.srt
4. Indexes and slicing.mp4
4. Indexes and slicing.srt
5. Types.mp4
5. Types.srt
6. Reshape.mp4
6. Reshape.srt
7. Exercise reshape problem.html
8. Solution reshape problem.html
9. Stacking and merging arrays.mp4
9. Stacking and merging arrays.srt
25. COURSE MATERIALS
1. Slides and source code.html
AStarSearch.py
BreadthFirstSearch.py
DepthFirstSearch.py
DepthFirstSearchRecursion.py
GeneticAlgorithmElitism.py
GeneticAlgorithmKnapsack.py
GeneticAlgorithmNQueens.py
GeneticAlgorithmSequence.py
MazeBFS.py
MazeProblem.py
ParticleSwarmOptimizationFunction.py
SimulatedAnnealingFunction.py
SimulatedAnnealingSudoku.py
SimulatedAnnealingTSP.py
SimulatedAnnelaingTSP.py
WebCrawler.py
__MACOSX
_BreadthFirstSearch.py
_DepthFirstSearch.py
_DepthFirstSearchRecursion.py
_GeneticAlgorithmElitism.py
_GeneticAlgorithmKnapsack.py
_GeneticAlgorithmNQueens.py
_GeneticAlgorithmSequence.py
_MazeBFS.py
_MazeProblem.py
_ParticleSwarmOptimizationFunction.py
_SimulatedAnnealingFunction.py
_SimulatedAnnelaingTSP.py
_WebCrawler.py
_ai.pptx
ai.pptx
3. Breadth-First Search (DFS) Algorithm
1. What is breadth-first search.mp4
1. What is breadth-first search.srt
2. Breadth-first search implementation.mp4
2. Breadth-first search implementation.srt
3. Applications of breadth-first search.mp4
3. Applications of breadth-first search.srt
4. Breadth-First Search Quiz.html
4. Challange #1 - WebCrawler
1. Course challenge #1 - WebCrawler problem.html
2. What are WebCrawlers (core of search engines).mp4
2. What are WebCrawlers (core of search engines).srt
3. WebCrawler basic implementation.mp4
3. WebCrawler basic implementation.srt
5. Depth-First Search (DFS) Algorithm
1. What is depth-first search.mp4
1. What is depth-first search.srt
2. Depth-first search implementation.mp4
2. Depth-first search implementation.srt
3. Depth-first search implementation with recursion.mp4
3. Depth-first search implementation with recursion.srt
4. Depth-first search and stack memory visualization.mp4
4. Depth-first search and stack memory visualization.srt
5. Memory comparison of graph traversal algorithms.mp4
5. Memory comparison of graph traversal algorithms.srt
6. Applications of depth-first search.mp4
6. Applications of depth-first search.srt
7. Depth-First Search Quiz.html
6. Challange #2 - Maze Solver
1. Course challenge #2 - maze problem.html
2. Maze problem introduction.mp4
2. Maze problem introduction.srt
3. Maze problem implementation.mp4
3. Maze problem implementation.srt
4. Maze problem stack memory visualization.mp4
4. Maze problem stack memory visualization.srt
7. A Search Algorithm
1. What is the A search algorithm.mp4
1. What is the A search algorithm.srt
2. A search illustration.mp4
2. A search illustration.srt
3. A search implementation I.mp4
3. A search implementation I.srt
4. A search implementation II.mp4
4. A search implementation II.srt
5. A search implementation III.mp4
5. A search implementation III.srt
6. Path finding algorithms comparison.mp4
6. Path finding algorithms comparison.srt
7. A Search Quiz.html
8. ### META-HEURISTICS ###
1. What are meta-heuristic approaches.mp4
1. What are meta-heuristic approaches.srt
2. Heuristics Quiz.html
9. Simulated Annealing
1. What is simulated annealing.mp4
1. What is simulated annealing.srt
2. Simulated Annealing Quiz.html
Bonus Resources.txt
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