First priority of objective function in logistics optimization model should be CSL. If the product distribution cannot be made on time and the right quantity, other criteria means nothing.

Abstract: In order to improve the performance and change the current situation of the cost minimization model widely used in the cold chain logistics distribution process, a multi-objective ...

Python is a popular programming language for solving optimization problems in transportation, such as routing, scheduling, network design, and logistics. Optimization models are mathematical ...

Discover how an integrated forward/reverse logistics network can optimize costs and enhance responsiveness in a closed-loop supply chain. Explore a bi-objective mixed-integer programming model and ...

This assignment compares the performance of four optimization algorithms: Gradient Descent (GD), Stochastic Gradient Descent (SGD), and Mini-Batch Stochastic Gradient Descent (MB-SGD) with batch sizes ...

The code first defines the logistic growth model function, then defines the objective function for minimization, and finally uses the fmincon() function, to minimize the objective function. The code ...

In topology optimization, the optimal layout of the structure is obtained through an iterative update of the geometry. Since this update procedure utilizes the gradient of the objective function, it ...

This research deals with multi objective optimization models for green vehicle routing problems by a mixed integer programming. Exact methods were implemented for computations. Real data instances ...