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  • eBook:Modern Music-Inspired Optimization Algorithms for Electric Power Systems

    Modern Music-Inspired Optimization Algorithms for Electric Power Systems

    Modeling, Analysis and Practice
    Mohammad Kiani-Moghaddam; Mojtaba Shivaie; Philip D. Weinsier
    978-3-030-12044-3
    2019
    Edition 1
    • Provides an understanding of the optimization problems and algorithms, particularly meta-heuristic optimization algorithms, found in fields such as engineering, economics, management, and operations research
    • Enhances existing architectures and develops innovative architectures for meta-heuristic music-inspired optimization algorithms in order to deal with complicated, real-world, large-scale, non-convex, non-smooth engineering optimization problems having a non-linear, mixed-integer nature with big data
    • Addresses innovative multi-level, techno-economic, real-world, large-scale, computational-logical frameworks for power systems operation and planning, and illustrates practical training on implementation of the frameworks using the meta-heuristic music-inspired optimization algorithms

    €400

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