A Generalized and Robust Anti-Predatory Nature-Inspired Algorithm for Complex Problems
A Generalized and Robust Anti-Predatory Nature-Inspired Algorithm for Complex Problems is a scholarly work, published in 2019 in ''International Journal of Applied Metaheuristic Computing''. The main subjects of the publication include swarm intelligence, particle swarm optimization, genetic programming, artificial intelligence, evolutionary algorithm, algorithm, multi-objective optimization, mathematical optimization, biological robustness, benchmark, and computer science. This article describes how nature-inspired algorithms (NIAs) have evolved as efficient approaches for addressing the complexities inherent in the optimization of real-world applications.