Handbook of Nature-Inspired Optimization Algorithms - The State of the Art - Volume I

Handbook of Nature-Inspired Optimization Algorithms: The State of the Art: Volume I



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English | 2022 | ISBN: 3031075110 | 282 Pages | PDF (True) | 10 MB

The introduction of nature-inspired optimization algorithms (NIOAs), over the past three decades, helped solve nonlinear, high-dimensional, and complex computational optimization problems. NIOAs have been originally developed to overcome the challenges of global optimization problems such as nonlinearity, non-convexity, non-continuity, non-differentiability, and/or multimodality which traditional numerical optimization techniques had difficulties solving.