Attrition Mill Optimization Algorithm: A Novel Approach for Solving Engineering Optimization Problems

Overview

Attrition Mill Optimization (AMO) is a metaheuristic inspired by the repeated interactions inside an attrition mill. Its three stages—initialization, operation, and rejuvenation—balance broad exploration with local refinement, while opposition-based learning helps preserve diversity. The study evaluates AMO on benchmark functions and engineering design problems, comparing solution quality and computational speed with other optimization algorithms.