The optimisation of gas networks has emerged as a critical field in energy systems engineering, incorporating advanced nonlinear programming techniques to address the increasing complexity of gas ...

Mixed-integer nonlinear programming (MINLP) optimisation constitutes a critical methodology in tackling complex decision-making problems where both discrete choices and continuous variables are ...

Abstract: The trust-region method and projection neural networks are two branches of optimization approaches with different operational principles and characteristics. In this article, a trust-region ...

Mixed Integer Nonlinear Programming Ksenia Bestuzheva 2020 Good introduction to MINLP (a little background noise) Solving Mixed-Integer Nonlinear Programming (MINLP) Problems Marcel Hunting 2016 Lec ...

Abstract: With an emphasis on nonlinear models for energy harvesting (EH), this article examines nonlinear approaches in advanced optimization for simultaneous wireless information and power transfer ...

No algorithm for optimizing general nonlinear functions exists that will always find the global optimum for a general nonlinear minimization problem in a reasonable amount of time. Since no single ...

There are three groups of optimization techniques available in PROC NLP. A particular optimizer can be selected with the TECH=name option in the PROC NLP statement. Since no single optimization ...