Mixed-Integer Nonlinear Programming (MINLP): An optimisation framework that integrates discrete variables with continuous nonlinear functions to model complex decision-making problems.

Mixed-Integer Nonlinear Programming (MINLP): An optimisation method involving both continuous and discrete variables subject to nonlinear constraints, commonly employed in the planning and ...

FICO ® Xpress Optimization allows businesses to easily build, deploy and use optimization solutions that crunch through millions of potential scenarios to find the ideal solution.

Photovoltaic (PV) inverters can quickly and flexibly offer reactive power support, aiding in voltage regulation and reducing losses in distribution networks. However, as the number of parameters to be ...

In this paper we consider a distributed optimization problem, where a set of agents interacting and cooperating locally have as common goal the minimization of a function expressed as a sum of ...

Both deterministic and stochastic optimization methods have been used in the literature to solve the resulting Mixed Integer Non-Linear Programming (MINLP) problem. Kantor et al. (2015) formulated the ...

Umamaheswari, P. and Ganesan, K. (2017) A Solution Approach to Fuzzy Nonlinear Programming Problems. International Journal of Pure and Applied Mathematics, 113, 291-300. ... Stochastic Optimization, ...

This is a preview. Log in through your library . Abstract The trust region approach has been extended to solving nonlinear constrained optimization. Most of these extensions consider only equality ...

SHENZHEN, China, May 12, 2025 (GLOBE NEWSWIRE) -- MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, announced the development of a ...