Modern Music-Inspired Optimization Algorithms for Electric Power Systems [E-Book] : Modeling, Analysis and Practice / by Mohammad Kiani-Moghaddam, Mojtaba Shivaie, Philip D. Weinsier.
In today's world, with an increase in the breadth and scope of real-world engineering optimization problems as well as with the advent of big data, improving the performance and efficiency of algorithms for solving such problems has become an indispensable need for specialists and researchers....
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Full text |
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Personal Name(s): | Kiani-Moghaddam, Mohammad, author |
Shivaie, Mojtaba, author / Weinsier, Philip D., author | |
Edition: |
1st edition 2019. |
Imprint: |
Cham :
Springer,
2019
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Physical Description: |
XXVII, 727 pages 55 illustrations, 40 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9783030120443 |
DOI: |
10.1007/978-3-030-12044-3 |
Series Title: |
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Power Systems
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Subject (LOC): |
- Chapter1: Introduction to Meta-Heuristic Optimization Algorithms
- Chapter2: Introduction to Multi-Objective Optimization and Decision Making Analysis
- Chapter3: Music-Inspired Optimization Algorithms: From Past to Present
- Chapter4: Advances in Music-Inspired Optimization Algorithms
- Chapter5: Power Systems Operation
- Chapter6: Power Systems Planning
- Chapter7: Power Quality Planning.