Wednesday, March 16, 2022

Metaheuristic Optimization - Introduction

 Lesson 378

Metaheuristic algorithms are computational intelligence paradigms especially used for sophisticated solving optimization problems. Metaheuristic algorithms are  divided according to metaphor based and non-metaphor.

The major algorithms in metaphor subcategory are: Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Water Waves Optimization (WWO), Clonal Selection Algorithm (CLONALG), Chemical Reaction Optimization (CRO), Harmony Search (HS), Sine Cosine Algorithm (SCA), Simulated Annealing (SA), Teaching–Learning-Based Optimization (TLBO), and League Championship Algorithm (LCA). 

The major non-metaphor based metaheuristics are:  Tabu Search (TS), Variable Neighborhood Search (VNS). Second, different variants of metaheuristics are categorized into improved metaheuristics, adaptive, hybridized metaheuristics. 

https://www.sciencedirect.com/science/article/pii/B9780128133149000104





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https://www.youtube.com/watch?v=9PIcpgHYxKg

https://www.youtube.com/watch?v=9PIcpgHYxKg&list=PL7XCYAQpq_DPkyrj-LEi5Gn73Xx_u-J1Q&index=30

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