Results 41 to 50 of about 3,712,066 (178)
Optimal Biocompatible Solvent Design by Mixed-integer Hybrid Differential Evolution [PDF]
Bioautomation, 2008 In this study, a flexible optimization approach is introduced to design an optimal biocompatible solvent for an extractive fermentation process with cell-recycling.
Hou-Chieh Cheng, Feng-Sheng Wang
doaj
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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New variants of variable neighbourhood search for 0-1 mixed integer programming and clustering [PDF]
, 2010 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Many real-world optimisation problems are discrete in nature.
Lazić, Jasmina
core +7 more sources
Multi-objective optimization of biomass to biomethane system
Green Energy & Environment, 2016 The superstructure optimization of biomass to biomethane system through digestion is conducted in this work. The system encompasses biofeedstock collection and transportation, anaerobic digestion, biogas upgrading, and digestate recycling.
Nana Yan +5 more
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Reformulating mixed-integer quadratically constrained quadratic programs [PDF]
, 2011 It is well known that semidefinite programming (SDP) can be used to derive useful relaxations for a variety of optimisation problems. Moreover, in the particular case of mixed-integer quadratic programs, SDP has been used to reformulate problems, rather ...
Galli, L, Letchford, A. N.
core +4 more sources
Energies, 2021 The paper presents the Generalized Benders Decomposition (GBD) method, which is now one of the basic approaches to solve big mixed-integer nonlinear optimization problems.
Andrzej Karbowski
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Global optimization of mixed-integer nonlinear programs with SCIP 8
Journal of Global Optimization, 2023 Abstract For over 10 years, the constraint integer programming framework SCIP has been extended by capabilities for the solution of convex and nonconvex mixed-integer nonlinear programs (MINLPs). With the recently published version 8.0, these capabilities have been largely reworked and extended. This paper discusses the motivations for recent
Ksenia Bestuzheva +5 more
openaire +6 more sources
Optimal Antibody Purification Strategies Using Data-Driven Models
Engineering, 2019 This work addresses the multiscale optimization of the purification processes of antibody fragments. Chromatography decisions in the manufacturing processes are optimized, including the number of chromatography columns and their sizes, the number of ...
Songsong Liu, Lazaros G. Papageorgiou
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An algorithmic framework for convex mixed integer nonlinear programs
Discrete Optimization, 2008 This paper is motivated by the fact that mixed integer nonlinear programming is an important and difficult area for which there is a need for developing new methods and software for solving large-scale problems. Moreover, both fundamental building blocks, namely mixed integer linear programming and nonlinear programming, have seen considerable and ...
Pierre Bonami +10 more
openaire +5 more sources
Complexity, 2018 Industrial systems, such as logistics and supply chain networks, are complex systems because they comprise a big number of interconnected actors and significant nonlinear and stochastic features.
Aaron Guerrero Campanur +4 more
doaj +1 more source