Udemy - Metaheuristic and Heuristic Optimization in Python
- Category Other
- Type Tutorials
- Language English
- Total size 1.4 GB
- Uploaded By freecoursewb
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- Last checked 2 days ago
- Date uploaded 4 months ago
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Infohash : B631D84E5851F43A24727795C8E163BA51B40EE7
Metaheuristic & Heuristic Optimization in Python
https://WebToolTip.com
Published 8/2025
Created by Advancedor Academy
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 56 Lectures ( 3h 15m ) | Size: 1.37 GB
Solve complex optimization problems using Genetic Algorithms, Swarm Intelligence, A*, and Simulated Annealing in Python
What you'll learn
Apply heuristic and metaheuristic optimization algorithms such as GA, PSO, A*, and Simulated Annealing to real-world problems.
Build and analyze mathematical models for complex optimization tasks using Python.
Implement optimization algorithms from scratch or using libraries like DEAP, PyGAD, and Scikit-Opt.
Evaluate algorithm performance and compare solution quality across different techniques.
Requirements
Basic Python programming knowledge (variables, loops, functions).
Familiarity with basic optimization or operations research concepts is helpful but not required.
No prior experience with metaheuristics is needed — everything will be taught from the ground up.
Files:
[ WebToolTip.com ] Udemy - Metaheuristic and Heuristic Optimization in Python- Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1 - Introduction
- 1 -Introduction.mp4 (19.3 MB)
- 1 -Artificial Bee Colony.mp4 (31.2 MB)
- 1 -Intro.mp4 (17.2 MB)
- 2 -Project.mp4 (54.1 MB)
- 3 -Output.mp4 (51.5 MB)
- 1 -Tabu Search for TSP.mp4 (80.4 MB)
- 1 -What is SPEA2.mp4 (14.5 MB)
- 2 -Project.mp4 (8.4 MB)
- 3 -Model of SPEA2's.mp4 (15.7 MB)
- 4 -Let's Code.mp4 (56.1 MB)
- 5 -Review of Results.mp4 (35.4 MB)
- 1 -Ant Colony Optimization for TSP.mp4 (110.1 MB)
- 1 -Project Introduction.mp4 (15.3 MB)
- 2 -Theory.mp4 (27.2 MB)
- 3 -Coding.mp4 (53.6 MB)
- 4 -Outputs and Graph.mp4 (18.5 MB)
- 1 -Grey Wolf Optimizer.mp4 (9.4 MB)
- 2 -Whale Optimization Algorithm.mp4 (10.1 MB)
- 1 -What is Genetic Algorithm.mp4 (14.1 MB)
- 2 -Terms.mp4 (15.4 MB)
- 3 -Case Study.mp4 (11.7 MB)
- 4 -Math Model.mp4 (21.5 MB)
- 5 -Coding with DEAP.mp4 (65.0 MB)
- 6 -DEAP's Results.mp4 (27.4 MB)
- 1 -Introduction.mp4 (19.6 MB)
- 2 -Theory.mp4 (19.6 MB)
- 3 -Project.mp4 (7.1 MB)
- 4 -Mathematical Model.mp4 (14.3 MB)
- 5 -Code Time.mp4 (41.2 MB)
- 6 -Outputs.mp4 (8.2 MB)
- 1 -Theory & Scenario.mp4 (25.0 MB)
- 2 -Model.mp4 (7.8 MB)
- 3 -Code and Output.mp4 (31.2 MB)
- 1 -Intro.mp4 (15.1 MB)
- 2 -Theory.mp4 (25.2 MB)
- 3 -Scenario.mp4 (9.4 MB)
- 4 -Model.mp4 (12.5 MB)
- 5 -Code.mp4 (25.6 MB)
- 6 -Results.mp4 (3.7 MB)
- 1 -Introduction.mp4 (21.8 MB)
- 2 -Model.mp4 (9.4 MB)
- 3 -Code.mp4 (77.5 MB)
- 4 -Output.mp4 (10.5 MB)
- 1 -Theory and Scenario.mp4 (40.1 MB)
- 2 -Code.mp4 (38.7 MB)
- 3 -Output.mp4 (7.7 MB)
- 1 -Theory & Scenario.mp4 (16.8 MB)
- 2 -Model.mp4 (16.4 MB)
- 3 -Code.mp4 (29.3 MB)
- 4 -Output.mp4 (8.8 MB)
- 1 -Introduction.mp4 (15.7 MB)
- 2 -Theory.mp4 (29.9 MB)
- 3 -Rastrigin Function.mp4 (12.2 MB)
- 4 -Model of AFSA.mp4 (10.2 MB)
- 5 -Code of AFSA.mp4 (15.5 MB)
- 6 -Outcomes of AFSA.mp4 (4.2 MB)
- Bonus Resources.txt (0.1 KB)
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