Dynamic Optimization
Dynamic Optimization of Bioprocesses
... quirements. Optimization studies have typically been limited to experimental studies, although there has recently been increased interest in combined experimental and computational ...a dynamic ...
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Stochastic Dynamic Optimization Under Ambiguity
... stochastic dynamic optimization methods and to design new methods to make policies more resilient to ...stochastic dynamic optimization is used, such as finance and inventory management, and ...
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Dynamic Optimization Infrastructure and Algorithms for IA-64
... potential for venturing into other domains, such as power reduction. There are many opportunities for noting the runtime power consumption and making changes that focus on consuming less power. For example, code ...
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A Dynamic Optimization on Energy Efficiency in Developing Countries
... by dynamic optimization issues for many ...of dynamic. In fact, the improvement of energy efficiency is a dynamic procedure in the development and it is always related to growth, investment, ...
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A new approach for dynamic optimization of water flooding problems
... • The producer has four inflow zones and the injector has five injection zones (which gives a total of nine chokes).. • Production chokes have three positions: open, half open and clo[r] ...
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Dynamic optimization of airspace sector grouping
... The airspace design is highly depending on traffic demand and traffic flow, which is a permanently changing process [9]. Therefore, the airspace design must be kept dynamic as a whole and must be quickly reactive ...
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Dynamic Optimization of Structures Subjected to Earthquake
... the optimization process, VSP is ...the optimization time, the computational burden of the process due to implementing the time history dynamic analysis is very ...
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Dynamic optimization of the LNG value chain
... model-based optimization offers and interesting and feasible approach to optimize production in case of various events that require readjustment of the production ...
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Dynamic Optimization in Manets Using Queue Scheduling Techniques
... Sun et al. (2014) designed a modified proportional fairness model with multi-hop queue scheduling for cognitive radio-based MANETs. The model is cross layer- based model that restricts QoS for end users in MANETs. The ...
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Dynamic Optimization of a Rimless Wheel with an Actuated Pendulum
... created independently of one another. The only way they are similar is in that the equations of motion and collision equations are identical. To begin, the validation simulation for the dynamics of the system was ...
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New Genetic Operator for Dynamic Optimization
... GADNS and classified by UFC-FCM-VAL. The principle of our technique (figure 1) is based on a three-component. The first component (GADNS) is a GA, which combines dynamic niche sharing, and mating restriction to ...
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Dynamic optimization in natural resources management
... In this paper we show how methods of infinite horizon dynamic optimal control theory developed in the field of natural resource economics. We begin first with methodology analysis and second we propose two ...
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Evolutionary Algorithms for Static and Dynamic Multiobjective Optimization
... real-world optimization problems consist of a number of conflicting objectives that have to be optimized ...multiobjective optimization problems (MOPs) resort to a set of trade-off op- timal solutions, ...
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Sobol' Sequences Application in Dynamic Stochastic Systems Optimization
... multi-criteria optimization problem in modern computational mathematics are ...for optimization of dynamic stochastic systems is ...for optimization of non-formalized systems, adequately ...
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Genetic Algorithms for Multi-Objective Optimization in Dynamic Systems
... Policy parameter search is applied to an electric circuit model and a generic Stock Management model by using Genetic Algorithms. The search is simulation based. The paper points to the critical role of time horizon in ...
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Pareto Optimization for Subset Selection with Dynamic Cost Constraints
... Submodular functions form an important class of prob- lems as many important optimization problems can be mod- eled by them. The area of submodular function optimiza- tion under given static constraints has been ...
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A Survey on Security Optimization of Dynamic Networks with Graph Modelling
... the optimization problems are non-convex, to proposed a sequential parametric convex approximation (SPCA) algorithm to locate the Karush-Kuhn-Tucker (KKT) ...
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Bioreactor Design for Dynamic Process Optimization in Tissue Engineering
... by dynamic compression was commonly justified as a consequence of flows, structure deformations and pressure gradients which occur within the ...a dynamic shear stress, only matrix deformation is generated, ...
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Parameter optimization of evolving spiking neural network with dynamic population particle swarm optimization
... PSO was introduced by Kennedy and Eberhart and was inspired by the nature of bird flocking (Kennedy, 2010; Eberhart and Kennedy 1995). PSO is easy to apply, has less parameter to regulate and proven to be robust in ...
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Dynamic Spectrum Sharing Optimization and Post optimization Analysis with Multiple Operators in Cellular Networks
... Remark 1. In Problem 1, the objective function and all constraints are linear except for the constraint (4). Once we calculate the required bandwidth for the ith cell using the non-linear constraint (4) iteratively we ...
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