Soft Computing-Enabled Optimization of Multi-Choice Stochastic Transportation Problem Involving Exponential and Logistic Distributions

Key Points

• The optimization approach significantly improves efficiency in multi-choice stochastic transportation scenarios.
• Results show a notable enhancement in performance when using exponential and logistic distributions.
• Evaluation utilized a soft computing framework to address the complex transportation models effectively.
• Findings suggest that this method may lead to more cost-effective and efficient transportation solutions.