Constraint Programming Applications Course

5.0 (2 reviews)
  • 38 Lessons
  • 128 Students
  • Certificate of completion

Constraint Programming Applications course in hindi, in this course explore diverse applications of constraint programming techniques in solving complex real-world problems.

To Register in Course you have to watch at least 30 Second of any lesson

What You'll Learn

  • Master modeling real-world problems using constraint programming techniques and frameworks
  • Apply constraint satisfaction algorithms to optimize solutions in logistics and scheduling tasks
  • Implement constraint propagation methods to efficiently reduce search spaces in complex problems
  • Design and develop constraint-based solutions for resource allocation and planning challenges
  • Analyze and solve combinatorial problems using constraint programming approaches
  • Utilize constraint programming tools to improve decision-making in manufacturing and supply chain management
  • Evaluate the effectiveness of constraint programming models in various industry scenarios
  • Integrate constraint programming with other AI techniques for enhanced problem-solving capabilities
  • Troubleshoot and refine constraint models to increase solution accuracy and efficiency
  • Apply constraint programming principles to develop scalable solutions for large datasets
  • Use constraint programming to automate complex decision processes in real-world applications
  • Demonstrate practical skills in deploying constraint programming solutions in diverse industries

Course Content

38 Lessons • 32 h 6 m total

Computer Aided Applied Single Objective Optimization Introduction Video

4:34

Lec 1 Introduction to Optimization

2:04:22

Lec 2 Linear Regression

38:22

Lec 3 Multiple Polynomial and General Linear Least Square Regression

1:01:19

Lec 4 Nonlinear Regression

20:32

Lec 5 Regression MATLAB Implementation

47:33

Lec 6 Teaching Learning Based Optimization

1:18:31

Lec 7 Implementation of TLBO in MATLAB

1:06:43

Lec 8 Preliminary Statistical analysis for metaheuristic techniques

26:06

Lec 9 Preliminary Statistical analysis MATLAB implementation

19:25

Lec 10 Particle Swarm Optimization

1:11:36

Lec 11 Implementation of Particle Swarm Optimization using MATLAB

35:34

Lec 12 Differential Evolution

1:01:40

Lec 13 Implementation of Differential Evolution using MATLAB

43:57

Lec 14 Binary Coded Genetic Algorithm

1:03:40

Lec 15 Real Coded Genetic Algorithm

1:18:40

Lec 16 Implementation of Real Coded Genetic Algorithm using MATLAB

1:03:52

Lec 17 Artificial Bee Colony Algorithm

45:37

Lec 18 Working of Artificial Bee Colony Algorithm

45:04

Lec 19 Implementation of Artificial Bee Colony using MATLAB

1:09:18

Lec 20 Comparison of Variation Operators and Survival Strategies

15:54

Lec 21 Black Box Optimization Problems

14:41

Lec 22 Constraint Handling in Metaheuristic Techniques

1:13:37

Lec 23 Case Study Production planning

1:25:45

Lec 24 Case Study Production planning MATLAB Implementation

1:18:02

Lec 25 Parallelization and Vectorization of Fitness Function

33:40

Lec 26 Constraint Handling using Correction Approach

52:03

Lec 27 MATLAB inbuilt functions Linear Mixed Integer Linear Programming

51:55

Lec 28 MATLAB inbuilt functions Nonlinear Mixed Integer Nonlinear Programming

1:07:38

Lec 29 MATLAB Optimization Tool Options Output Function Vectorization Parallelization

33:04

Lec 30 MATLAB inbuilt functions Multi objective Optimization

27:10

Lec 31 Simplex Method for LP

36:17

Lec 32 Branch Bound Method for MILP

26:48

Lec 33 MILP formulation of Production Planning Problem

35:39

Lec 34 Generalized Algebraic Modelling System

1:10:24

Lec 35 Solution of Production Planning Problem using GAMS NEOS MIRO

50:29

Lec 36 IBM ILOG CPLEX Optimization Studio

1:05:20

Lec 37 Constraint Programming Applications in IBM ILOG CPLEX Optimization Studio

41:40

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  • Complete all lessons.
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5.0 (2 reviews)

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Reviews

DIVYA DEEPAK MNDALIA

· 2yrs ago

learning new thing in short time.

Vishal Sanjay Gaikwad

· 2yrs ago

Brilliant sir

Constraint Programming Applications Course Description

Constraint Programming Applications course in hindi, in this course explore diverse applications of constraint programming techniques in solving complex real-world problems.

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Course Intro