Handbook Of Natureinspired Optimization Algorithms The State Of The Art

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, andor multimodality which traditional numerical optimization techniques had difficulties solving.