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NOC:Traditional and Non-Traditional Optimization Tools

NOC:Traditional and Non-Traditional Optimization T..

Validity Unlimited NOC:Traditional and Non-Traditional Optimization Tools All Level NOC:Traditional and Non-Traditional Optimization Tools English

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Free

About This Course

The principle of optimization will be explained in detail. The working principles of some traditional tools of optimization, namely exhaustive search method, random walk method, steepest descent method will be discussed with suitable numerical examples. The drawbacks of traditional tools for optimization will be stated. The working principle of one of the most popular non-traditional tools for optimization, namely genetic algorithm (GA) will be explained in detailed. Schema theorem of binary-coded GA will be discussed.

  • NOC:Traditional and Non-Traditional Optimization Tools Total 8 Modules
  • NOC:Traditional and Non-Traditional Optimization Tools 45 Videos
  • NOC:Traditional and Non-Traditional Optimization Tools Downloadable on mobile
  • NOC:Traditional and Non-Traditional Optimization Tools Published on 29 June, 2019

Course Curriculum

Week 1

NOC:Traditional and Non-Traditional Optimization Tools
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    Lecture 1 Principle of Optimization

    26m <?php echo  $alt; ?>
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    Lecture 2 Traditional Methods of Optimization

    29m <?php echo  $alt; ?>
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    Lecture 3: Traditional Methods of Optimization (Contd.)

    21m <?php echo  $alt; ?>
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    Lecture 4 Binary-Coded Genetic Algorithm (BCGA)

    28m <?php echo  $alt; ?>
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    Lecture 5 Binary-Coded Genetic Algorithm (BCGA) Contd.

    29m <?php echo  $alt; ?>
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    Lecture 6 Binary-Coded Genetic Algorithm (BCGA) Contd.

    29m <?php echo  $alt; ?>

Week 2

NOC:Traditional and Non-Traditional Optimization Tools
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    Lecture 7 Binary-Coded Genetic Algorithm (BCGA) Contd.

    27m <?php echo  $alt; ?>
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    Lecture 8 Binary-Coded Genetic Algorithm (BCGA) Contd.

    18m <?php echo  $alt; ?>
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    Lecture 9 Schema Theorem of BCGA

    24m <?php echo  $alt; ?>
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    Lecture 10: Schema Theorem of BCGA (Contd.)

    15m <?php echo  $alt; ?>
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    Lecture 11 : Constraint Handling

    36m <?php echo  $alt; ?>
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    Lecture 12 : Real-Coded GA

    27m <?php echo  $alt; ?>

Week 3

NOC:Traditional and Non-Traditional Optimization Tools
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    Lecture 13 : Faster Genetic Algorithms

    27m <?php echo  $alt; ?>
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    Lecture 14 : Faster Genetic Algorithms (Contd.)

    19m <?php echo  $alt; ?>
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    Lecture 15 : Faster Genetic Algorithms (Contd.)

    32m <?php echo  $alt; ?>
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    Lecture 16 : Faster Genetic Algorithms (Contd.)

    32m <?php echo  $alt; ?>
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    Lecture 17 : Scheduling GA

    21m <?php echo  $alt; ?>

Week 4

NOC:Traditional and Non-Traditional Optimization Tools
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    Lecture 18 : Scheduling GA (Contd.)

    21m <?php echo  $alt; ?>
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    Lecture 19 : Scheduling GA (Contd.)

    23m <?php echo  $alt; ?>
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    Lecture 20 : Simmulated Annealing

    32m <?php echo  $alt; ?>
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    Lecture 21 : Particle Swarm Optimization

    30m <?php echo  $alt; ?>

Week 5

NOC:Traditional and Non-Traditional Optimization Tools
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    Lecture 22: Multi-Objective Optimization

    26m <?php echo  $alt; ?>
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    Lecture 23: Multi-Objective Optimization (Contd.)

    27m <?php echo  $alt; ?>
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    Lecture 24: Multi-Objective Optimization (Contd.)

    31m <?php echo  $alt; ?>
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    Lecture 25: Multi-Objective Optimization (Contd.)

    32m <?php echo  $alt; ?>
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    Lecture 26: Multi-Objective Optimization (Contd.)

    15m <?php echo  $alt; ?>
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    Lecture 27: Intelligent Optimization Toolture

    18m <?php echo  $alt; ?>

Week 6

NOC:Traditional and Non-Traditional Optimization Tools
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    Lecture 28: A Practical Optimization Problem

    18m <?php echo  $alt; ?>
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    Lecture 29: A Practical Optimization Problem (Contd.)

    26m <?php echo  $alt; ?>
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    Lecture 30: A Practical Optimization Problem (Contd.)

    28m <?php echo  $alt; ?>
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    Lecture 31: A Practical Optimization Problem (Contd.)

    21m <?php echo  $alt; ?>
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    Lecture 32: A Practical Optimization Problem (Contd.)

    32m <?php echo  $alt; ?>
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    Lecture 33: A Practical Optimization Problem (Contd.)

    13m <?php echo  $alt; ?>
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    Lecture 34: A Practical Optimization Problem (Contd.)

    14m <?php echo  $alt; ?>
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    Lecture 35: A Practical Optimization Problem (Contd.)

    14m <?php echo  $alt; ?>

Week 7

NOC:Traditional and Non-Traditional Optimization Tools
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    Lecture 36: A Practical Optimization Problem (Contd.)

    27m <?php echo  $alt; ?>
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    Lecture 37: Genetic Algorithm as Evolution Tool

    27m <?php echo  $alt; ?>
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    Lecture 38: Genetic Algorithm as Evolution Tool (Contd.)

    28m <?php echo  $alt; ?>
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    Lecture 39: Genetic Algorithm as Evolution Tool (Contd.)

    27m <?php echo  $alt; ?>
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    Lecture 40: Genetic Algorithm as Evolution Tool (Contd.)

    27m <?php echo  $alt; ?>
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    Lecture 41: Genetic Algorithm as Evolution Tool (Contd.)

    29m <?php echo  $alt; ?>

Week 8

NOC:Traditional and Non-Traditional Optimization Tools
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    Lecture 42: Genetic Algorithm as Evolution Tool (Contd.)

    31m <?php echo  $alt; ?>
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    Lecture 43: Summary 1

    29m <?php echo  $alt; ?>
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    Lecture 44: Summary 2

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    Lecture 45: Summary 3

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