Metaheuristics (Flood Algorithm and free online view of paper have been added )

The cheetah optimizer

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The cheetah optimizer

Circulatory System Based Optimization (CSBO)

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Circulatory System Based Optimization (CSBO)

New Firefly Algorithm 1 to 3

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New Firefly Algorithm 1 to 3

Coulomb’s and Franklin’s laws Algorithm (FCA)

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Coulomb’s and Franklin’s laws Algorithm (FCA)

New Hybrid Algorithm (As soon as possible)

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New Hybrid Algorithm (As soon as possible)

Global Best-guided Firefly Algorithm

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Global Best-guided Firefly Algorithm

Particle Swarm Optimization with Hummingbird Flight Pattern

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Particle Swarm Optimization with Hummingbird Flight Pattern

Geyser Inspired Algorithm (GEA)

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Geyser Inspired Algorithm (GEA)

Lungs performance-based optimization (LPO)

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Lungs performance-based optimization (LPO)

Optimization based on the smart behavior of plants with its engineering applications: Ivy algorithm

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Optimization based on the smart behavior of plants with its engineering applications: Ivy algorithm

Flood Algorithm (FLA)

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Flood Algorithm (FLA)

Metaheuristics

In stochastic optimization, the term "metaheuristics" is sometimes used in an unfortunate manner to describe a major subfield, indeed the primary subfield. Generally speaking, stochastic optimization is the process of utilizing a certain degree of randomness to find (or as close to) the best solution to a difficult problem. There are many different types of metaheuristic algorithms, and they can be applied to a variety of problems.