In this video, you will learn about the metaheuristic algorithm basic fundamentals.
► VIDEO TIMESTAMPS:
Introduction: 00:00
Engineering Activities: 00:30
Optimization: 00:56
Objective Function: 01:19
Constraints: 01:36
Metaheuristic Optimization: 02:29
Multi-Objective Optimization: 02:45
Optimization Problem: 03:37
Metaheuristic Algorithm Application Areas: 04:25
Classical Optimization Methods: 04:43
Metaheuristic Design Criteria: 05:50
Role of Random Values: 06:33
How Optimization Algorithm Works: 08:01
Different Types of Optimization Algorithms: 09:36
Optimization Engineering - Metaheuristic Optimization Algorithms
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Meta-heuristic Algorithms
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Hybrid Metaheuristics
• Hybrid Metaheuristics
Swarm Intelligence based Population-based Metaheuristics
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Particle Swarm Optimization (PSO)
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Physics-based Optimization Algorithms (PA)
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Chemistry Based Metaheuristic Algorithms
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Research Work
• Research Work
Questions Covered in this Video
What is Optimization?
Define Meta-heuristic optimization.
Define multi-objective optimization problems?
Why we use the function in optimization problems?
Where metaheuristic algorithms are used?
State different classical optimization methods.
Metaheuristic algorithm design criteria.
Role of Random Values in Optimization.
Explain the Optimization algorithm's main framework?
How does the Optimization algorithm work?
Different types of optimization algorithms.
The main inspiration behind population-based algorithm?
Key Notes: codebypixy.blogspot.com/2021/...
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