'Scheduling problem' diaporamas de présentation

A distance-based ranking EDA for the permutation flowshop scheduling problem

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Zanussi & Cybertec Meeting

Zanussi & Cybertec Meeting. Meeting Agenda. About Cybertec The CyberPlan Planning & Scheduling Suite Cybertec Projects at Electrolux Zanussi Cold Division in Susegana. About Cybertec. Company Vision Technology Products Services Customers Partners.

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Real-Time Systems, COSC-4301-01, Lecture 5

Real-Time Systems, COSC-4301-01, Lecture 5. Stefan Andrei. Reminder of the last lecture. Multiprocessor Scheduling Available scheduling tools Available real-time operating systems. Overview of This Lecture. A Satisfiability Approach for the Scheduling Problem. Introduction.

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Swarm Intelligence: From Natural to Artificial Systems

Swarm Intelligence: From Natural to Artificial Systems. Eric Bonabeau, Marco Dorigo, and Guy Theraulaz . Introduction. What is swarm intelligence ?

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Research Exists Everywhere!

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Algorithm Design and Analysis

L ECTURE 13 Dynamic Programming Fibonacci Weighted Interval Scheduling. Algorithm Design and Analysis. CSE 565. Adam Smith. Design Techniques So Far. Greedy . Build up a solution incrementally, myopically optimizing some local criterion.

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Production planning : operations scheduling with applications in manufacturing and services

Production planning : operations scheduling with applications in manufacturing and services. Erwin Hans (T&M-OMST) BB-235, tel. 3523, e.w.hans@sms.utwente.nl Johann Hurink (TW-STOR) J.L.Hurink@math.utwente.nl Faculty of Technology and Management University of Twente

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Scheduling Manufacturing Systems in an agile environment

Scheduling Manufacturing Systems in an agile environment. Author: David He, Astghik Babayan , Andrew Kusiak By: Carl Haehl Date: 11/18/09. Introduction. Many companies want to produce a low cost customized product in a short period of time.

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CHSP: extension of an evolutionary approach to multifunction tanks

CHSP: extension of an evolutionary approach to multifunction tanks. Maria MAHALEAN, Hervé MANIER, Marie-Ange MANIER, Christelle BLOCH Systems and Transport Laboratory University of Technology of Belfort-Montbéliard. Outlines. A scheduling problem : the Hoist Scheduling Problem

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Integrating a Real-World Scheduling Problem into the Basic Algorithms Course

Integrating a Real-World Scheduling Problem into the Basic Algorithms Course. Yana Kortsarts Computer Science Department Widener University, Chester, PA. The SAP Problem.

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Minimal Probing: Supporting Expensive Predicates for Top-k Queries

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Learning of Word Boundaries in Continuous Speech using Time Delay Neural Networks

Learning of Word Boundaries in Continuous Speech using Time Delay Neural Networks. Colin Tan School of Computing, National University of Singapore. ctank@comp.nus.edu.sg. Motivations. Humans are able to automatically segment words and sounds in speech with little difficulty.

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Energy-efficient Task Scheduling in Heterogeneous Environment

Energy-efficient Task Scheduling in Heterogeneous Environment. 2013/10/25. Outline. Literature survey Preliminary scheduling algorithm design for big.LITTLE cores. . Energy-efficient Task Scheduling. Goals: Energy Minimize energy consumption. Performance Find an optimal makespan .

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Scheduling for Embedded Real-Time Systems

Scheduling for Embedded Real-Time Systems. Amit Mahajan and Haibo. Overview . Real-Time Systems Scheduling problem in Real-Time Systems Control Dominated Systems Dataflow Systems Conclusions. Real-Time Systems. Are composed of several distinct cooperating tasks

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Introduction to Real-Time Scheduling: Continued

Introduction to Real-Time Scheduling: Continued. Fred Kuhns Applied Research Laboratory Computer Science Washington University. Introduction. Considerations: schedulability analysis performed static or dynamic schedulability analysis analysis result includes schedule

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Introduction to Real-Time Scheduling

Introduction to Real-Time Scheduling. Fred Kuhns Applied Research Laboratory Computer Science Washington University. Introduction. Considerations: schedulability analysis performed static or dynamic schedulability analysis analysis result includes schedule Scheduling Paradigms

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Trend Towards Parallelization

Resolution and Parallelizability: Barriers to the Efficient Parallelization of SAT Solvers George Katsirelos MIAT, INRA, Toulouse, France Ashish Sabharwal IBM Watson Research Center, USA Horst Samulowitz Laurent Simon Univ. Paris- Sud , LRI/CNRS, Orsay , France. Trend Towards Parallelization.

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Ant Colony Hyper-heuristics for Graph Colouring

Ant Colony Hyper-heuristics for Graph Colouring. Nam Pham ASAP Group, Computer Science School University of Nottingham. Overview. Hyper-heuristic Framework Problem Description Hyper-heuristic design for the problem An ant colony hyper-heuristic approach and experimental results

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Embedding Constraint Satisfaction using Parallel Soft-Core Processors on FPGAs

Embedding Constraint Satisfaction using Parallel Soft-Core Processors on FPGAs. Prasad Subramanian, Brandon Eames, Department of Electrical Engineering, Utah State University.

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1) Literature Search 2) Develop a database for the optimization.

Project Title: Equipment Scheduling and Optimization Principal Investigators: Carlos Oliveira, Ph.D., Ricki G. Ingalls, Ph.D. Create an optimization model that will determine the optimal configuration and assignment of pumping equipment at the multiple Halliburton camps.

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