Discussing the article: "Coral Reefs Optimization (CRO)"
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Check out the new article: Coral Reefs Optimization (CRO).
The CRO algorithm is based on modeling the processes of formation and development of coral reefs in nature. These processes include various mechanisms of coral reproduction (broadcast spawning, brooding, as well as asexual reproduction), competition for limited space in the reef, and the death of weak individuals. Just as evolution creates resilient and adaptable coral reefs in nature, the CRO algorithm allows one to explore the search space and find optimal or near-optimal solutions to various problems.
In this paper, we present an improved version of the CROm algorithm with a modified destruction mechanism based on the use of the inverse power law distribution to generate new solutions in the neighborhood of the best ones. The proposed approach not only preserves the traditional advantages of CRO, such as exploratory capacity and a natural balance between global exploration and local exploitation of the search space, but also complements them with a more efficient mechanism that allows for more accurate localization of promising search areas and faster convergence to optimal solutions.
We are going to extensively test the proposed algorithm on a set of classical optimization benchmark functions demonstrating its improved performance compared to the original CRO algorithm and other modern metaheuristics. The experimental results show that the proposed approach is particularly effective for problems with multimodal objective functions and complex search landscape structure.
Author: Andrey Dik