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An initialization method for the k-means using the concept of useful nearest centers
The aim of the k-means is to minimize squared sum of Euclidean distance from the mean (SSEDM) of each cluster.
Study of Some Recent Crossovers Effects on Speed and Accuracy of Genetic Algorithm, Using Symmetric Travelling Salesman Problem
The Travelling Salesman Problem (TSP) is one of the most famous optimization problems.
Using Ants as a Genetic Crossover Operator in GLS to Solve STSP
Ant Colony Algorithm (ACA) and Genetic Local Search (GLS) are two optimization algorithms that have been successfully applied to the Traveling Salesman Problem (TSP).
Accelerating the ANT Colony Optimization By Smart ANTs, Using Genetic Operator
This paper research review Ant colony optimization (ACO) and Genetic Algorithm (GA), both are two powerful meta-heuristics.
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