Nature-inspired metaheuristics

Imperialist competitive algorithm

In computer science, imperialist competitive algorithms are a type of computational method used to solve optimization problems of different types. Like most of the methods in the area of evolutionary computation, ICA does not need the gradient of the function in its optimization process. From a specific point of view, ICA can be thought of as the social counterpart of genetic algorithms (GAs). ICA is the mathematical model and the computer simulation of human social evolution, while GAs are based on the biological evolution of species. (Wikipedia).

Imperialist competitive algorithm
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From playlist Introduction to Algorithms

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From playlist Introduction to Algorithms

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Related pages

Loss function | Pseudocode | Optimization problem | List of metaphor-based metaheuristics | Evolutionary computation