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Solving a Complex Logistics Optimization Problem using the Pulp Library in Python – Part 4
In this article, we demonstrate how to solve a logistics optimization problem using the Pulp library in Python. By defining the variables, objective function, and constraints, and using the solve method to find the optimal solution, we are able to minimize the total cost of transportation while satisfying the constraints. This article concludes the multi-part…
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Linear Programming in Python using PuLP – Part 3: Optimizing Investment Portfolios with Multi-Objective Optimization
In this article, we used the Pulp library in Python to solve a linear programming problem to find the optimal investment portfolio. We defined variables, added constraints, defined objectives, and solved the problem to find the optimal solution that balances the trade-off between maximizing returns and minimizing risk. The code was concise and easy to…
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Linear Programming in Python using Pulp – Part 2
In this article, we delve deeper into linear programming and explore how to solve a multi-objective optimization problem using the Pulp library in Python. We present a problem in which a nutritionist must find the optimal meal plan for a patient suffering from anemia, balancing the intake of Vitamin B12 and fat. We demonstrate how…
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Linear Programming in Python using PuLP – Part 1
Linear programming is an optimization technique used to find the best outcomes for a given problem. This technique relies on a set of constructs which are all expressed using a system of linear equations. It is important to understand that you should be able to express your objective as a linear equation dependent on an…