Results 21 to 30 of about 57,986 (262)
On generalized surrogate duality in mixed-integer nonlinear programming [PDF]
Mathematical Programming, 2020 AbstractThe most important ingredient for solving mixed-integer nonlinear programs (MINLPs) to global $$\epsilon $$ ϵ -optimality with spatial branch and bound is a tight, computationally tractable relaxation. Due to both theoretical and practical considerations, relaxations of MINLPs are usually required to be convex.
Benjamin Müller +5 more
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Frontiers in Energy Research, 2021 Soft open point-based energy storage (SOP-based ES) can transfer power in time and space and also regulate reactive power. These characteristics help promote the integration of distributed generations (DGs) and reduce the operating cost of active ...
Jian Wang +3 more
doaj +1 more source
Transport, 2015 Finding an exact optimal solution of the Nonlinear Discrete Transportation Problem (NDTP) represents a challenging task in transportation science. Development of an adequate model formulation and selection of an appropriate optimization method are thus ...
Uroš Klanšek
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Dyna, 2021 This paper addresses the optimal location and sizing of photovoltaic (PV) sources in isolated direct current (DC) electrical networks, considering time-varying load and renewable generation curves.
Alexander Molina +2 more
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Packing While Traveling: Mixed Integer Programming for a Class of Nonlinear Knapsack Problems [PDF]
, 2015 Packing and vehicle routing problems play an important role in the area of supply chain management. In this paper, we introduce a non-linear knapsack problem that occurs when packing items along a fixed route and taking into account travel time.
C Chekuri +11 more
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Models and Solutions of Resource Allocation Problems based on Integer Linear and Nonlinear Programming [PDF]
, 2016 In this thesis we deal with two problems of resource allocation solved through a Mixed-Integer Linear Programming approach and a Mixed-Integer Nonlinear Chance Constraint Programming approach.
Thomopulos, Dimitri <1987>
core +1 more source
Mixed-integer nonlinear programming 2018 [PDF]
Optimization and Engineering, 2019 Mixed-Integer Nonlinear Programming (MINLP) is the area of optimization that addresses nonlinear problems with continuous and integer variables. MINLP has proven to be a powerful tool for modeling. At the same time, it combines algorithmic design challenges from combinatorial and nonlinear optimization.
openaire +1 more source
Applied Sciences, 2019 This paper proposes a coordinated active–reactive power optimization model for an active distribution network with energy storage systems, where the active and reactive resources are handled simultaneously.
Lingling Wang +4 more
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Optimal Configuration of Gas Solid Separation Equipment Using Mixed Integer Nonlinear Programming
Atmosphere, 2022 The separation of solid particles from gas-solid process streams is an important unit operation in many chemical processes. Out of the many different types of separation equipment that are used for gas-solid separation, cyclone separators are widely used
Muhamad Fariz Failaka +4 more
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Plunge milling time optimization via mixed-integer nonlinear programming [PDF]
, 2016 International audiencePlunge milling is a recent and efficient production mean for machining deep workpieces, notably in aeronautics. This paper focuses on the minimization of the machining time by optimizing the values of the cutting parameters ...
Bes, Christian +3 more
core +2 more sources