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A novel hybrid multi operator evolutionary algorithm for dynamic distributed generation optimization and optimal feeder reconfiguration. [PDF]
Sci RepAli A +6 more
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A novel framework for production planning and class-based storage location assignment: Multi-criteria classification approach. [PDF]
HeliyonYerlikaya MA, Arıkan F.
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Multi-Area, Multi-Service and Multi-Tier Edge-Cloud Continuum Planning. [PDF]
Sensors (Basel)Roumeliotis AJ +4 more
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Optimization of carbon capture and storage transportation networks in Thailand using the artificial hummingbird algorithm. [PDF]
Sci RepPromsuk N +3 more
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INFORMS Journal on Computing, 2021
The generalization of mixed integer program (MIP) techniques to deal with nonlinear, potentially nonconvex, constraints has been a fruitful direction of research for computational mixed integer nonlinear programs (MINLPs) in the last decade. In this paper, we follow that path in order to extend another essential subroutine of modern MIP solvers toward
Timo Berthold, Jakob Witzig
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The generalization of mixed integer program (MIP) techniques to deal with nonlinear, potentially nonconvex, constraints has been a fruitful direction of research for computational mixed integer nonlinear programs (MINLPs) in the last decade. In this paper, we follow that path in order to extend another essential subroutine of modern MIP solvers toward
Timo Berthold, Jakob Witzig
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Global optimisation of nonconvex MINLPs
Computers & Chemical Engineering, 1997Abstract The recent advances in mathematical programming approaches applied to process design and operation problems have produced a need for the ability to find the global optimum of a nonconvex problem containing discrete variables (a nonconvex MINLP). This paper presents a modified version of the reformulation/spatial branch-and-bound algorithm of
Edward M.B. Smith +1 more
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Stochastic MINLP optimisation using simplicial approximation
Computers & Chemical Engineering, 2005Mathematical programming has long been recognized as a promising direction to the efficient solution of design, synthesis and operation problems that can gain industry the competitive advantage required to survive in today's difficult economic environment.
Vishal Goyal, Marianthi G. Ierapetritou
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Solving Large MINLPs on Computational Grids
Optimization and Engineering, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Goux, J.-P., Leyffer, S.
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2019
Diskret-kontinuierliche Optimierungsprobleme sind schwer zu losen, weil sie sowohl ganzzahlige Variablen als auch haufig Nichtlinearitaten beinhalten. Nachdem wir im letzten Abschnitt MIP-basierte Techniken zum Losen von MINLPs diskutiert haben, behandeln wir in diesem Kapitel NLP-basierte Techniken.
Lars Schewe, Martin Schmidt
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Diskret-kontinuierliche Optimierungsprobleme sind schwer zu losen, weil sie sowohl ganzzahlige Variablen als auch haufig Nichtlinearitaten beinhalten. Nachdem wir im letzten Abschnitt MIP-basierte Techniken zum Losen von MINLPs diskutiert haben, behandeln wir in diesem Kapitel NLP-basierte Techniken.
Lars Schewe, Martin Schmidt
openaire +1 more source