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: 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 ...

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: This paper investigates the optimization of production process decisions based on nonlinear programming and particle swarm optimization genetic algorithm ...

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 ...