Abstract: Portfolio optimization that allows the borrowed money from a loan to be invested in risk assets is formulated as a data-driven optimization problem called POL_P. Then, in order to reflect ...

Abstract: This paper addresses the distributed nonconvex optimization problem, where both the global cost function and local inequality constraint function are nonconvex. To tackle this issue, the ...

A hybrid geothermal–biomass system integrates multigeneration heating, cooling, and power through thermodynamic and economic optimization.

A C++ toolkit for Convex Optimization (Logistic Loss, SVM, SVR, Least Squares etc.), Convex Optimization algorithms (LBFGS, TRON, SGD, AdsGrad, CG, Nesterov etc.) and ...

Porcupy implements the Crested Porcupine Optimizer (CPO), a nature-inspired metaheuristic that mimics porcupine defense mechanisms for optimization. It offers both object-oriented and procedural ...