Learn the Horse herd optimization Algorithm (HOA) Step-by-Step.
- Nature Inspired Metaheuristic Optimization Algorithm
- Inspired by Horse Herd Behavior.
- A large number of Controlling Parameters are Used.
- Used to Solve Higher Dimensional Optimization Problems in real life.
A horse herd optimization algorithm is introduced in 2021. It is the nature-inspired population-based metaheuristic optimization algorithm that is basically inspired by the horse herding behavior in nature.
Disadvantage: Due to horse different behaviors, a large number of control parameters are used in this algorithm.
Advantage: We can use this algorithm to solve complex high-dimensional optimization problems.
Few Facts About Horses
Horse Lifespan: 15-30
Vision: 360 Degree
Brain Weight: 623 Gram
Male Horse Teeth: 40
Female Horse Teeth: 36
Horse Breeds: More than 300
Predators: Lion, Wolf, and other
Horses Behavior: Horses reveal different behavior at different ages. Different horses behavior used in this algorithm include:
Grazing (G)
Hierarchy (H)
Sociability (S)
Imitation (I)
Roam (R)
Defense Mechanism (D)
Horse Age Classification
Delta Horse: Age Range Between 0-5 Years.
Gama Horse: Age Range Between 5-10 Years.
Beta Horse: Age Range Between 10-15 Years.
Alpha Horse: Older than15 years.
Horse Herd Optimization Algorithm Pseudocode:
Initialize important algorithm parameters.
Initialize Population for N horses Randomly.
Calculate the Fitness value for each horse in the current population.
Select the best horse among all.
Determine horse age: Calculate Alpha, Beta, Gama, and Delta Horse.
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