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Advances in Music-Inspired Optimization Algorithms

  • Mohammad Kiani-Moghaddam
  • Mojtaba Shivaie
  • Philip D. Weinsier
Chapter
Part of the Power Systems book series (POWSYS)

Abstract

This chapter complements Chap.  3 by providing multiple innovative versions of the modern music-inspired optimization algorithms. First, the authors propose an innovative continuous/discrete TMS-MSA by borrowing the basic principles of the original continuous TMS-MSA in order to deal with the complicated, real-world, large-scale, non-convex, non-smooth optimization problems with a simultaneous combination of the continuous and discrete decision-making variables. Then, an innovative improved version of the proposed continuous/discrete TMS-MSA, called a two-stage computational multidimensional single-homogeneous enhanced melody search algorithm (TMS-EMSA), is developed in order to increase the efficiency and efficacy of the performance of this optimization algorithm. Moreover, an innovative version of the architecture of the proposed TMS-EMSA—a multi-stage computational multidimensional multiple-homogeneous enhanced melody search algorithm (MMM-EMSA), multi-stage computational multidimensional single-inhomogeneous enhanced melody search algorithm (MMS-EMSA), or symphony orchestra search algorithm (SOSA)—is rigorously developed in order to appreciably enhance its performance, flexibility, robustness, and parallel capability. The newly developed SOSA has a multi-stage computational multidimensional and multiple-homogeneous or multi-stage computational multidimensional and single-inhomogeneous structure. Eventually, the chapter ends with the presentation of new multi-objective strategies for remodeling the architecture of the meta-heuristic music-inspired optimization algorithms.

Keywords

Multi-stage computational multidimensional multiple-homogeneous enhanced melody search algorithm (MMM-EMSA) Continuous TMS-MSA Continuous/discrete TMS-MSA Multi-stage computational multidimensional single-inhomogeneous enhanced melody search algorithm (MMS-EMSA) Symphony orchestra search algorithm (SOSA) Two-stage computational multidimensional single-homogeneous enhanced melody search algorithm (TMS-EMSA) 

References

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Mohammad Kiani-Moghaddam
    • 1
  • Mojtaba Shivaie
    • 2
  • Philip D. Weinsier
    • 3
  1. 1.Department of Electrical EngineeringShahid Beheshti UniversityTehranIran
  2. 2.Faculty of Electrical Engineering and RoboticShahrood University of TechnologyShahroodIran
  3. 3.Department of Applied Electrical EngineeringBowling Green State University FirelandsHuronUSA

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