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

• Main Authors: Kiani-Moghaddam, Mohammad (Author, 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)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Power Systems,
• Subjects: Power electronics.; Mathematical optimization.; Computational intelligence.; Power Electronics, Electrical Machines and Networks.; Optimization.; Computational Intelligence.

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....

Table of Contents:

• 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.