Adaptive Stochastic Optimization Techniques with Applications
provides a single, convenient source for state-of-the-art
information on optimization techniques used to solve problems with
adaptive, dynamic, and stochastic features. Presenting modern
advances in static and dynamic optimization, decision analysis,
intelligent systems, evolutionary programming, heuristic
optimization, stochastic and adaptive dynamic programming, and
adaptive critics, this book: Evaluates optimization methods for
handling operational planning, Voltage/VAr, control coordination,
vulnerability, reliability, resilience, and reconfiguration issues
Includes mathematical formulations, algorithms for implementation,
illustrative engineering examples, and case studies from actual
power systems Discusses the limitations of current optimization
techniques in meeting the challenges of smart electric grids
Adaptive Stochastic Optimization Techniques with Applications
describes cutting-edge optimization methods used to address
large-scale system problems applicable to power, energy,
communications, transportation, and economics.
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