Computer Aided Applied Single Objective Optimization

duration 8 weeks

@VTU COE

0.0
(0) 1 Students
Download Brochure

What you will learn

  • Chemical Engineering

Optimization problems are frequently encountered in almost all disciplines of science and engineering. This course will familiarize the audience with both mathematical and computational intelligence algorithms to solve combinatorial optimization problems. The course is designed so as to enable the participants to quickly use state-of-the-art tools to solve optimization problems. A unique feature of this course will be discussion of a realistic case study to thoroughly understand various aspects of optimization.

play
Lec 6 : Teaching Learning Based Optimization
Preview 78:30
play
Lec 7 : Implementation of TLBO in MATLAB
Preview 66:42
play
Lec 8 : Supplementary: Preliminary Statistical analysis for metaheuristic techniques
Preview 26:05
play
Lec 9 : Supplementary: Preliminary Statistical analysis - MATLAB implementation
Preview 19:24

play
Lec 10: Particle Swarm Optimization
Preview 71:36
play
Lec 11: Implementation of Particle Swarm Optimization using MATLAB
Preview 35:33
play
Lec 12: Differential Evolution
Preview 61:39
play
Lec 13: Implementation of Differential Evolution using MATLAB
Preview 43:57

play
Lec 14 : Binary Coded Genetic Algorithm
Preview 63:39
play
Lec 15 : Real Coded Genetic Algorithm
Preview 78:39
play
Lec 16 : Implementation of Real Coded Genetic Algorithm using MATLAB
Preview 63:51

play
Lec 17 : Artificial Bee Colony Algorithm
Preview 45:36
play
Lec 18 : Working of Artificial Bee Colony Algorithm
Preview 45:03
play
Lec 19 : Implementation of Artificial Bee Colony using MATLAB
Preview 69:18
play
Lec 20 : Comparison of Variation Operators and Survival Strategies
Preview 15:54
play
Lec 21 : Black-Box Optimization Problems
Preview 14:40
play
Lec 22 : Constraint-Handling in Metaheuristic Techniques
Preview 63:36

play
Lec 23: Case Study: Production planning
Preview 85:44
play
Lec 24: Case Study: Production planning MATLAB Implementation
Preview 78:01
play
Lec 25: Parallelization and Vectorization of Fitness Function
Preview 33:39

play
Lec 26: Constraint-Handling using Correction Approach
Preview 52:02
play
Lec 27: MATLAB inbuilt functions: Linear & Mixed Integer Linear Programming
Preview 51:54
play
Lec 28: MATLAB inbuilt functions: Nonlinear & Mixed Integer Nonlinear Programming
Preview 67:37
play
Lec 29: MATLAB Optimization Tool: Options, Output Function, Vectorization, Parallelization
Preview 33:03
play
Lec 30: MATLAB inbuilt functions: Multi-objective Optimization
Preview 27:09

play
Lec 31: Simplex Method for LP
Preview 36:16
play
Lec 32: Branch & Bound Method for MILP
Preview 26:47
play
Lec 33: MILP formulation of Production Planning Problem
Preview 35:38
play
Lec 34: Generalized Algebraic Modelling System
Preview 70:23
play
Lec 35: Solution of Production Planning Problem using GAMS & NEOS, MIRO
Preview 50:28
play
Lec 36: IBM ILOG CPLEX Optimization Studio
Preview 65:19
play
Lec 37: Constraint Programming Applications in IBM ILOG CPLEX Optimization Studio
Preview 41:39

play
Live Session 19-02-2020
Preview 26:21
img
No Discussion Found

0.0

0 Reviews

5
0
4
0
3
0
2
0
1
0
Meet Your Instructor
@VTU COE
img

Instructor
3.2 Rating
2542 Students
759 Courses
About Instructor

VTU is one of the largest Technological Universities in India with 24 years of Tradition of excellence in Engineering & Technical Education, Research and Innovations. It came into existence in the year 1998 to cater the needs of Indian industries for trained technical manpower with practical experience and sound theoretical knowledge.

video

Free

  • Course Duration
    31 h 44 m 45 s
  • Course Level
    Intermediate
  • Student Enrolled
    1
  • Language
    English
This Course Includes
  • 31 h 44 m 45 s Video Lectures
  • 0 Quizzes
  • 0 Assignments
  • 0 Downloadable Resources
  • Full Lifetime Access
  • Certificate of Completion