Discussing the article: "Artificial Showering Algorithm (ASHA)"

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Check out the new article: Artificial Showering Algorithm (ASHA).

The article presents the Artificial Showering Algorithm (ASHA), a new metaheuristic method developed for solving general optimization problems. Based on simulation of water flow and accumulation processes, this algorithm constructs the concept of an ideal field, in which each unit of resource (water) is called upon to find an optimal solution. We will find out how ASHA adapts flow and accumulation principles to efficiently allocate resources in a search space, and see its implementation and test results.

The Artificial Showering Algorithm (ASHA) is a new metaheuristic method developed for solving general optimization problems. The algorithm is based on modeling the flow and accumulation of water distributed by human-controlled equipment on an ideal field. ASHA simulates water distribution (showering) over a field, where water represents resource units and the field is the search space. The algorithm uses the principles of flow and accumulation to find optimal solutions to problems without constraints. The Artificial Showering Algorithm (ASHA) was developed by a group of authors: Ali J., M. Saeed, N.A. Chaudhry, M. Luqman and M. F. Tabassum and published in 2015.


Author: Andrey Dik

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