The Dynamic Topology Model and Objective
Dynamic Objective Sampling in Many-objective Optimization
... The Pareto-dominance concept was modified in order to reduce the number of non-dominated solutions in 4,5 . New heuristics able to rank the non-dominated solutions based on a qualitative criteria (and not quantitatively, ...
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A New Multi-Objective Model for Dynamic Cell Formation Problem with Fuzzy Parameters
... This model also considers the alternative routing, alternative process plan, operation sequence, machine relocation, machine duplication, cell number flexibility, outsourcing possibility, inter-cell and intra-cell ...
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Multi-objective optimization using differential evolution for dynamic model structure selection
... This model will not guarantee to give good predictive accuracy due to loss of ...NARX model with maximum number of input and output lags of 3 and second-order of nonlinearity the maximum possible ...
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EFFICIENT AND DYNAMIC TOPOLOGY IN DELAY TOLERANT NETWORKS
... evolving topology is known a priori or can be ...the dynamic nature of wireless communications. The purpose of our topology design problem is to build a sparse structure from the original space-time ...
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A Technique for Presenting a Deceptive Dynamic Network Topology
... real topology, the deception would be exposed if for any destination IP address the same (deceptive) route was always re- ...network topology shown in Figure ...
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Diagnosis of Dynamic Topology MANETs in Faulty Environment
... which are connected. These buses are moving in different parts of city to pick or drop students if they are connected, make a Ad hoc Network. With the Internet becoming an increasingly significant part of our lives, the ...
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How Network Topology Affects Dynamic Load
... Basically, lightly loaded proces- sors inform other processors in the system of their state, and overloaded processors respond by sending a por- tion of their load to the nearest ligh[r] ...
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Multi-Objective Pathfinding in Dynamic Environments
... 9 1.5 Thesis Outline This thesis is divided into seven chapters, the bulk of which will be in Chapter 3. Chapter 1 covers the introduction to pathfinding and familiarizes the reader with concepts typically seen in ...
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Dynamic Visualisation of Many-Objective Populations
... a dynamic element – populations evolving over time change their relative relationships, and the quality comparison measure itself can be altered, redefining member ...inherently dynamic, and will ...
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Multi-objective topology optimization and structural analysis of periodic spaceframe structures
... wing model since the objective of this study was to explore the application of the periodic structure optimised using the SOP-TGS method, rather than explicitly designing a wing ...
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A method for multi-objective topology optimization of acoustic and fluid flow properties
... A framework for multi-objective topology optimization of fluid flows and acoustics has been presented, which uses a coupled aeroacoustic solver for all computations. It is based on the solution of the ...
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Applying a DOE-ACO Multi-Objective Approach toward Topology Optimization
... With using the design of experiments and entering cross-sections, materials and thicknesses, a matrix of 24 on 3 which represents 24 thin-walled structure can be created which is based on the combination of these three ...
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Throughput-optimal broadcast in wireless networks with dynamic topology
... 7. CONCLUSION In this paper we studied the problem of throughput-optimal broadcasting in wireless directed acyclic networks with point- to-point links and time-varying connectivity. We character- ized the ...
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A fuzzy dynamic multi-objective, multi-item model by considering customer satisfaction in supply chain
... Transportation risk; Customer satisfaction; Quality. Abstract. Customer satisfaction is an important issue in competitive strategic manage- ment of companies. Logistical and cross-functional drivers of supply chain have ...
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Interactive and Dynamic Multi Objective Refactoring Recommendations
... the objective metric values with subjective developer ...QMOOD model in a fitness function can be considered as a possible threat since the use of quality metrics to ...
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A Compressible Σ-Υ Two-Fluid Atomization Model with Dynamic Interface Sharpening based on Flow Topology Detection
... atomization model dealing with such multi-scale complexities. The proposed model is com- pressible, so it can capture the density variations that affect spray penetration and atomization ...to model ...
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Dynamic Topology Estimation and Resource Allocation for Power Line Communication
... based topology inference method was proposed, which requires measurement at a single ...PLC topology estimation approaches either require a large number of PLC modems in the network as an essential working ...
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Dynamic small world network topology for particle swarm optimization
... However, the basic PSO algorithm has some shortcomings in dealing complex problems. For instance, it is not sensitive to the change of environment, and prema- ture convergence phenomenon often occurs because of the ...
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Ant Colony Optimisation for Dynamic and Dynamic Multi-objective Railway Rescheduling Problems
... Semrov et al. [69] used Q-learning to resolve train rescheduling problems on a 64km section of the Slovenian railway network composed of 23 block sections, 14 stations and 26 trains in three hours. The Q-learning agent’s ...
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A memetic algorithm for multi-objective dynamic location problems
... weighted objective function value that is being used in the current generation for the calcula- tion of assignments, and tries to improve an individual’s fitness, calculated according to this weighted ...
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