Computer Aided Applied Single Objective Optimization

duration 8 weeks

@VTU COE

0.0
(0) 1 Students

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.

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

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

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

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

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

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

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

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Live Session 19-02-2020
Preview 26:21
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Meet Your Instructor
@VTU COE
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Instructor
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40 Students
718 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.

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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