Author

A. Thammano

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Open access Oct 2026

Genetic Algorithm with Guided Search and Multi-Heuristic Operators for Solving Traveling Salesman Problems

Experimental results show that GA-GSMHO outperforms the original GA and six state-of-the-art metaheuristic algorithms and achieves higher solution quality, faster convergence, and greater stability of results.

Jihan Alya Permata Mexda, A. Thammano · Emerging Science Journal · 0 citations

Open access Sep 2026

Discrete Evolutionary Algorithm with Distance-Based Crossover and Multiple Mutation Strategy for Traveling Salesman Problems

These findings confirm that the strategic integration of distance-based crossover, diversified mutation methods, and complete 2-opt local search effectively navigates the complex search space, enabling highly efficient route determination for large-scale TSPs.

Rujira Jullapak, A. Thammano · HighTech and Innovation Jour... · 0 citations