Search Results for Algorithms.

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Multiagent Scheduling Models and Algorithms

Yazar

Agnetis, Alessandro. author.

http://dx.doi.org/10.1007/978-3-642-41880-8

Format:

Electronic Resources

Alıntı:

Multiagent Scheduling Models and Algorithms / Agnetis, Alessandro. author.

Uncertainty Management in Simulation-Optimization of Complex Systems Algorithms and Applications

Yazar

Dellino, Gabriella. editor.

http://dx.doi.org/10.1007/978-1-4899-7547-8

Format:

Electronic Resources

Alıntı:

Uncertainty Management in Simulation-Optimization of Complex Systems Algorithms and Applications /

Machine Learning Models and Algorithms for Big Data Classification Thinking with Examples for Effective Learning

Yazar

Suthaharan, Shan. author.

http://dx.doi.org/10.1007/978-1-4899-7641-3

Format:

Electronic Resources

Alıntı:

Machine Learning Models and Algorithms for Big Data Classification Thinking with Examples for

Multi Tenancy for Cloud-Based In-Memory Column Databases Workload Management and Data Placement

Yazar

Schaffner, Jan. author.

http://dx.doi.org/10.1007/978-3-319-00497-6

Format:

Electronic Resources

Alıntı:

Algorithm Analysis and Problem Complexity.

Optimization of Stochastic Discrete Systems and Control on Complex Networks Computational Networks

Yazar

Lozovanu, Dmitrii. author.

http://dx.doi.org/10.1007/978-3-319-11833-8

Format:

Electronic Resources

Alıntı:

Algorithm Analysis and Problem Complexity.

Construction Program Management – Decision Making and Optimization Techniques

Yazar

Haidar, Ali D. author.

http://dx.doi.org/10.1007/978-3-319-20774-2

Format:

Electronic Resources

Alıntı:

systems and genetic algorithms can be used to optimize resources and meet time, budget and quality

Computational Management Science State of the Art 2014

Yazar

Fonseca, Raquel J. editor.

http://dx.doi.org/10.1007/978-3-319-20430-7

Format:

Electronic Resources

Alıntı:

; deterministic, dynamic, stochastic, robust and combinatorial optimization models; solution algorithms, learning

Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling

Yazar

Rabadi, Ghaith. editor.

http://dx.doi.org/10.1007/978-3-319-26024-2

Format:

Electronic Resources

Alıntı:

algorithms as applied to planning and scheduling problems. While it is not possible to give a comprehensive

Dynamic and Stochastic Multi-Project Planning

Yazar

Melchiors, Philipp. author.

http://dx.doi.org/10.1007/978-3-319-04540-5

Format:

Electronic Resources

Alıntı:

scheduling policies. To obtain optimal and near optimal scheduling policies new models and algorithms are

10.

Practical Manual of Quality Function Deployment

Yazar

Maritan, Davide. author.

http://dx.doi.org/10.1007/978-3-319-08521-0

Format:

Electronic Resources

Alıntı:

resources and/or need for speed. In addition, a chapter is dedicated to the most common “fuzzy” algorithms

11.

Managing Intermittent Demand

Yazar

Engelmeyer, Torben. author.

http://dx.doi.org/10.1007/978-3-658-14062-5

Format:

Electronic Resources

Alıntı:

process as demand process. The developed algorithms can be used to identify, estimate, and predict the

12.

Emerging Trends in Information Systems Recent Innovations, Results and Experiences

Yazar

Becker, Jörg. editor.

http://dx.doi.org/10.1007/978-3-319-23929-3

Format:

Electronic Resources

Alıntı:

and Process and Project Maturity -- Algorithms for Project Portfolio Selection based on Fuzzy

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