Modern Music-Inspired Optimization Algorithms for Electric Power Systems Modeling, Analysis and Practice /

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....

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Kiani-Moghaddam, Mohammad (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Shivaie, Mojtaba (http://id.loc.gov/vocabulary/relators/aut), Weinsier, Philip D. (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Σειρά:Power Systems,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.