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optimization framework

A cross layer optimization framework for congestion and power control in cognitive radio ad hoc networks under predictable contact

A cross layer optimization framework for congestion and power control in cognitive radio ad hoc networks under predictable contact

... decentralized optimization approaches is that the differential game is a continuous time dynamic game to investigate interactive decision making over ...cross-layer optimization framework for CRANET ...

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Distributed Optimization Framework for Industry 4.0 Automated Warehouses

Distributed Optimization Framework for Industry 4.0 Automated Warehouses

... as optimization problems ...centralized optimization problem may be ...resource optimization problem among ...distributed optimization framework, problems such as minimizing overall ...

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A Stochastic Multiobjective Optimization Framework for Wireless Sensor Networks

A Stochastic Multiobjective Optimization Framework for Wireless Sensor Networks

... multiobjective optimization approach to solve such kind of ...multiobjective optimization problem. We then decompose the optimization formulation through Lagrange dual decomposition and adopt the ...

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An Optimization Framework for Task Sequencing in Curriculum Learning

An Optimization Framework for Task Sequencing in Curriculum Learning

... Abstract —Curriculum learning in reinforcement learning is used to shape exploration by presenting the agent with in- creasingly complex tasks. The idea of curriculum learning has been largely applied in both animal ...

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SQOPI: Semantic Query Optimization Framework

SQOPI: Semantic Query Optimization Framework

... In this paper we discussed the design and implementation of the SQOPI Semantic Query Optimization framework. We showed the detailed architecture and discussed the rationale behind each subcomponent. SQOPI ...

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A discrete-event optimization framework for mixed-speed train timetabling problem

A discrete-event optimization framework for mixed-speed train timetabling problem

... simulation-based optimization is a flexible and powerful approach to tackling with ...the optimization train services in a rail network subject to the capacity ...simulation-based optimization ...

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GOssiping Optimization Framework (GOOF): A decentralized P2P architecture for function optimization

GOssiping Optimization Framework (GOOF): A decentralized P2P architecture for function optimization

... remarkable framework that addresses both the issues of assisting the user in the algorithm design and helping the distributed execution is DREAM (Dis- tributed Resource Evolutionary Algorithm Machine) ...this ...

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A constrained optimization framework for compliant underactuated grasping

A constrained optimization framework for compliant underactuated grasping

... encompassing optimization study for under- actuated hands, focusing mainly on four-bar linkages but with applications to other transmission mechanisms as ...that optimization of a highly underactuated hand ...

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A Parallel Optimization Framework for Inverse Problems

A Parallel Optimization Framework for Inverse Problems

... reasonably accurate results, noisy genetic algorithms perform best without extensive sampling [Miller and Goldberg, 1996]. On the basis of Aizawa and Wah’s (1994) sampling strategy for noisy GA’s, the following approach ...

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Intelligent Optimization Framework based on Benchmarking

Intelligent Optimization Framework based on Benchmarking

... of optimization and the general characteristic, the existing intelligent optimization algorithms (IOAs) can be divided into four ...same optimization idea is to imitate the evolutionary process of ...

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A versatile tuple-based optimization framework

A versatile tuple-based optimization framework

... The purpose of a DBMS is to store data at a central location, concurrently ac- cessible by multiple clients. It is the responsibility of the DBMS to safeguard the data, such that it does not become corrupted or ...

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The Effects of Long Memory in Price Volatility of Inventories Pledged on Portfolio Optimization of Supply Chain Finance

The Effects of Long Memory in Price Volatility of Inventories Pledged on Portfolio Optimization of Supply Chain Finance

... portfolio optimization in terms of short-term risk measure for financial assets, we proposed an optimization framework from the perspective of long-term price risk of inventory portfolio with long ...

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Visual Inertial Odometry with Robust Initialization and Online Scale Estimation

Visual Inertial Odometry with Robust Initialization and Online Scale Estimation

... that optimization-based algorithms achieve typically high accuracy when given enough amount of information, but occasionally suffer from divergence when solving highly non-linear ...joint optimization ...

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Optimization of the Midterm Electricity Generation Mix Considering the Effects of Water, Land and Carbon Footprints

Optimization of the Midterm Electricity Generation Mix Considering the Effects of Water, Land and Carbon Footprints

... an optimization framework to formulated the problem of optimal selection of technologies for electricity generation mix, regarding not only the water footprint but also the cost, land and carbon ...

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Redundancy Techniques for Straggler Mitigation in Distributed Optimization and Learning

Redundancy Techniques for Straggler Mitigation in Distributed Optimization and Learning

... distributed optimization and learning systems is bottlenecked by “straggler” nodes and slow communication links, which significantly delay ...distributed optimization framework where the dataset is ...

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Security Based Optimizing Design To Migrate Cloud

Security Based Optimizing Design To Migrate Cloud

... Abstract: The on-demand use, high scalability, and low maintenance cost nature of cloud computing have attracted more and more enterprises to migrate their legacy applications to the cloud environment. Although the cloud ...

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Optimization of an integrated fronthaul/backhaul network under
path and delay constraints

Optimization of an integrated fronthaul/backhaul network under path and delay constraints

... an optimization framework and computationally less intensive heuristics to tackle exactly the aforementioned ...an optimization framework for joint rout- ing and resource placement is ...

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Multi-period and Multi-objective Stock Selection Optimization Model Based on Fuzzy Interval Approach

Multi-period and Multi-objective Stock Selection Optimization Model Based on Fuzzy Interval Approach

... difference between performed a thorough comparative [16] assessment of different bi-objective models as well as multi-objective one, in terms of the performance and robustness of the whole set of Pareto optimal ...

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General Object-oriented Framework for Iterative Optimization Algorithms

General Object-oriented Framework for Iterative Optimization Algorithms

... Preservation of intermediate results is related to the representation of results and the tracking of the algorithm’s progress. Its implementation depends on solutions to those two problems. When defining the ...

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A framework for end-of-life photovoltaics distribution routing optimization

A framework for end-of-life photovoltaics distribution routing optimization

... conclusions. First, saving only appears in those years when the annual capacity of PVRC is relatively tight compared with the amount of PV that needs to be recycled (amount of installed PV). The tighter annual capacity ...

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