Evolutionary multi-objective optimization with the heuristic solver for multiple traveling salesman problem

Key Points

• Achieving optimized routes, significantly enhances efficiency in multiple traveling salesman problems.
• Key findings indicate that heuristic solver improves solution quality by over 30% compared to traditional methods.
• This analysis employs evolutionary algorithms to explore dynamic routing solutions effectively.
• The findings underscore the need for advanced optimization techniques in addressing complex routing issues.