Linear and nonlinear programming are two types of optimization methods that can help you find the best solution to a problem involving decision variables, constraints, and an objective function ...

Learn about the challenges and limitations of linear and nonlinear programming in practice, and how to overcome them with suitable models, methods, and tools.

As the title suggests, I have a problem in which I need to formulate an LP model. I'm supposed to work in Excel and use the Solver Add-in feature.I've done several other problems already, but this ...

Gas Network Optimization and Nonlinear Programming Publication Trend The graph below shows the total number of publications each year in Gas Network Optimization and Nonlinear Programming.

This paper focuses on the research and application of linear optimization algorithm and grey Wolf optimization algorithm, takes the energy storage system configuration optimization of the park energy ...

Mixed-Integer Nonlinear Programming Optimization Publication Trend The graph below shows the total number of publications each year in Mixed-Integer Nonlinear Programming Optimization.

In this project, we delve into two critical optimization problems: Network Optimization focusing on the Vehicle Routing Problem (VRP) and a Non-linear Optimization problem centered around the Wood ...

Pyomo: a Python-based open-source optimization modeling language for mathematical programming. Gurobi: a state-of-the-art solver for mathematical programming. SCIP: a fast non-commercial solvers for ...

We present two first-order primal-dual algorithms for solving saddle point formulations of linear programs, namely FWLP (Frank-Wolfe Linear Programming) and FWLP-P. The former iteratively applies the ...

Social cognitive optimization (SCO) for solving nonlinear programming problems (NLP) is presented based on human intelligence with the social cognitive theory (SCT). Experiments comparing SCO with ...