9 citations · 11 across the 7 of their papers we have counts for
4 papers · 1 filter
Study of Some Recent Crossovers Effects on Speed and Accuracy of Genetic Algorithm, Using Symmetric Travelling Salesman Problem
Hassan Ismkhan, Kamran Zamanifar
The Travelling Salesman Problem (TSP) is one of the most famous optimization problems. The Genetic Algorithm (GA) is one of metaheuristics that have been applied to TSP. The Crosso…
Using Ants as a Genetic Crossover Operator in GLS to Solve STSP
Hassan Ismkhan
Ant Colony Algorithm (ACA) and Genetic Local Search (GLS) are two optimization algorithms that have been successfully applied to the Traveling Salesman Problem (TSP). In this paper…
Accelerating the ANT Colony Optimization By Smart ANTs, Using Genetic Operator
Hassan Ismkhan
This paper research review Ant colony optimization (ACO) and Genetic Algorithm (GA), both are two powerful meta-heuristics. This paper explains some major defects of these two algo…
Developing Improved Greedy Crossover to Solve Symmetric Traveling Salesman Problem
Hassan Ismkhan, Kamran Zamanifar
The Traveling Salesman Problem (TSP) is one of the most famous optimization problems. Greedy crossover designed by Greffenstette et al, can be used while Symmetric TSP (STSP) is re…