03-14-2025, 05:54 AM
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Optimization Problems And Algorithms [2024]
Last updated 6/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 2.62 GB | Duration: 8h 3m
Understand, Formulate & Tackle Optimization Problems Using Heuristic Algorithms in Matlab
What you'll learn
Identify, understand, formulate, and solve optimization problems
Understand the concepts of stochastic optimization algorithms
Analyse and adapt modern optimization algorithms
Understand the process of optimizing and solving an optimization problem
Requirements
You should have basic knowledge of programming
You should be familiar with Matlab's built-in programming language
Description
This introductory course dives into stochastic optimization problems and algorithms, fundamental sub-fields in Artificial Intelligence. You'll cover essential concepts, including metaheuristics and swarm intelligence, and learn to identify and implement key components of optimization problems.Why Enroll in This Course?Foundational Knowledge: Learn the basics of optimization, including constraints, multiple objectives, discrete variables, and uncertainties.Hands-On Coding: Follow step-by-step coding videos to implement optimization algorithms and solve real-world problems in Matlab.Practical Exercises: Reinforce your learning with quizzes and exercises designed to test your understanding.What You'll Learn:History of Optimization: Discover the evolution of optimization techniques and their applications.Optimization Problems: Understand different types of optimization problems and their challenges.Single-Objective Optimization Algorithms: Learn to solve problems focused on a single objective.Particle Swarm Optimization (PSO): Master PSO, a versatile algorithm applicable to Machine Learning, Data Science, Neural Networks, and Deep Learning.Advanced Optimization Techniques: Tackle problems with constraints, binary/discrete variables, multiple objectives, and uncertainties.Course Highlights:Comprehensive Curriculum: Covering both theoretical concepts and practical applications.Interactive Learning: Coding videos, quizzes, and exercises to practice and reinforce your knowledge.Expert Instruction: Learn from Prof. Seyedali Mirjalili, a leading researcher in optimization and AI with over 500 publications and 110,000 citations globally.Student Testimonials

Who this course is for:
Anyone who wants to learn optimization,Anyone who wants to solve an optimization problem,Anyone who wants to have an in-depth understanding of optimization
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