Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 45 for “"MINLP"”.
-
Interval based MINLP superstructure synthesis of heat and mass exchange networks
… as a mixed integer non linear programming (MINLP) model. The superstructure is hot/rich streams based if hot/rich streams are used to define the intervals otherwise it is cold/lean stream based.
-
Neural network based hybrid modelling and MINLP based optimisation of MSF desalination process within gPROMS: Development of neural network based correlations for estimating temperature elevation due to salinity, hybrid modelling and MINLP based optimisation of design and operation parameters of MSF desalination process within gPROMS
… of MSF process is considered via the application MINLP technique within gPROMS. Two types of optimisation problems are considered: (a) For a fixed fresh water demand throughout the year, the external heat input (a measure of operating cost) to the process is minimised; (b) For different fresh …
-
Application-oriented Mixed Integer Non-Linear Programming
… for Mixed Integer Non-Linear Programming (MINLP) problems. This can be explained for different reasons: (i) the performance of solvers handling non-linear constraints was largely improved; (ii) the awareness that most of the applications from the real-world can be modeled as an MINLP …
-
Radio Resource Allocation in Wireless OFDM Systems
… as mixed integer nonlinear programming (MINLP) is generally highly complex. We proposed methods to convert MINLP to binary linear programming (BLP) which are linear and much easier to solve. We use the optimal solution as the benchmark for game theoretic approaches. The spectrum sharing …
-
Optimal scheduling, design, operation and control of reverse osmosis desalination. Prediction of RO membrane performance under different design and operating conditions, synthesis of RO networks using MINLP optimization framework involving fouling, boron removal, variable seawater temperature and variable fresh water demand.
… based on two-stage RO superstructure via MINLP approach. Different cases with several feed concentrations and seasonal variation of seawater temperature are presented. Also, the possibility of flexible scheduling in terms of the number of membrane modules required in operation in high and …
-
Strategic capacity planning using data science, optimization, and machine learning
… Finally, a mixed-integer nonlinear program (MINLP) integrates the capacity utilization framework and machine learning predictions to compute the optimal strategic capacity planning decisions. Capacity utilization and OEE models are shown to be able to be generated through automated data …
-
On Efficient Solution Methods for Mixed-Integer Nonlinear and Mixed-Integer Quadratic Optimization Problems
… mixed-integer nonlinear optimization problems (MINLP). As one main result, we propose a new algorithm guaranteeing global optimality for convex MINLPs under standard assumptions. The new algorithm called MIQP-supported outer approximation (MIQPSOA) incorporates the successive solution of convex …
-
Capacity expansion modeling of water supply in a planning support system for urban growth management
… and (2) mixed integer nonlinear programming (MINLP). Each method has its strengths and weaknesses. In this study the MINLP approach is used because of its strength of determining expansion sizing and timing simultaneously. A dynamic network optimization model and a water-distribution network …
-
On cutting planes for mixed-integer nonlinear programming
… solvers of mixed-integer nonlinear programs (MINLPs) use a combination of, among other techniques, branch- and-bound and cutting planes. In the late ’90s, solvers for mixed-integer linear programs saw an increase in performance due to the incorporation of general- purpose cutting planes. In …
-
Optimal Operation of Water and Power Distribution Networks
… of novel mixed-integer (non)-linear program (MINLP) formulations; convex relaxations with optimality guarantees; and the powerful technique of McCormick linearization. On the application side, the developed tools support the operation of each of the infrastructure networks independently, but …
-
Community Structure Detection in Complex Biological Networks
… as iMod. A mixed integer nonlinear programming (MINLP) model optimises modularity to find an initial partition which is then improved by iteratively solving a mixed integer quadratic programming (MIQP) model. A comparative analysis shows that iMod finds globally optimal solutions for networks of …
-
Learning structure in nested logit models
… as a mixed integer nonlinear programming (MINLP) optimization problem and solve it using a variant of the linear outer approximation algorithm. We demonstrate that it is indeed possible to recover the nesting structure directly from the data by applying our method to synthetic and real …
-
Optimization of stationary expansion planning and transient network control by mixed-integer nonlinear programming
… field of Mixed-Integer Nonlinear Programming (MINLP). However, global state-of-the-art MINLP solvers are not mature enough to solve or even find primal solutions on large-scale real-world instances since the resulting degree of nonconvexity and nonlinearity pose principal difficulties. For this …
-
Optimization Techniques for Phase Retrieval Based on Single-Crystal X-Ray Diffraction Data
… a completely general density assignment MINLP, a NLP relaxation of the MINLP, a MILP for density assignment for restricted reflections, and finally, a MILP relaxation of the density assignment for restricted reflections. The potential for these models to provide accurate phasing is …
-
On control and optimization of cascading phenomena in a class of dynamic networks
… nonconvex mixed-integer nonlinear program (MINLP) to facilitate the computation of its optimal solution. We then develop a MILP framework for computing the exact value of a tight upper bound on the efficacy of post-disturbance reactance tweaking among the set of all possible Nk disturbances …
-
Design and Implementation of An Emulation Testbed for Optimal Spectrum Sharing in Multi-hop Cognitive Radio Networks
… falls into mixed integer non-linear programming (MINLP), which is NP-hard in general, we develop a lower bound for the objective by relaxing the integer variables and linearization. Subsequently, we develop a nearoptimal algorithm to this MINLP problem. This algorithm is based on a novel …
-
Material transport system design in manufacturing
… by a mixed integer non-linear programming (MINLP) formulation. Relaxation techniques are applied to linearize the model. The solution of the resulting linear formulation (MILP) provides a lower bound to that of MINLP. A tightened formulation reduces the computational time by a factor of …
-
Modelado y optimización de la producción de una planta de bolsas plásticas
… modelo de programación mixto-entero no lineal (MINLP) para la planificación de las operaciones de corto plazo en una planta discontinua multi-etapa que produce diferentes tipos de bolsas plásticas. La planta debe completar el procesamiento de un conjunto de órdenes de producción a través de una …
-
Cost Optimization Modeling for Airport Capacity Expansion Problems in Metropolitan Areas
… Using mixed integer nonlinear programming (MINLP), a deterministic optimization model was developed with the inclusion of six cost functions: capital cost, operation cost, delay cost, noise cost, operation readiness, and airport transfer (ORAT) cost, and passenger access cost. These six cost …
-
Optimal Communications Systems and Network Design for Cargo Monitoring
… research are Mixed Integer Nonlinear Programs (MINLP). Prior research has shown that MINLP are nondeterministic polynomial time (NP) hard problems. As a result the system trade-off studies are conducted on relatively small trains with 15 units and 33 containers. Thus, a heuristic has been …
Page 1 of 3