Escaping Bird Search for function minimization

This package includes two variants of "Escaping Bird Search" as a novel meta-heuristic algorithm for unconstrained global optimization.

Escaping Bird Search (EBS) is a population-based metaheuristic algorithm for global optimization. Artifical search agents are distingusihed in predator-prey pairs. The algorithm simulates challenging maneuvers between the prey (Escaping Bird) and predator (Attacking Bird) to adapt suitable flights in the search space.

EBS is among the powerful derivative-free, unit-independent and parameter-less optimization algorithms. Two simplified variants of EBS are provided in a MATLAB programming framework. This framework enables better comparison of population-based algorithms by external generation and sharing of identical initial population between the algorithms at each run.

Further reading:

Mohsen Shahrouzi, Ali Kaveh, "An efficient derivative-free optimization algorithm inspired by avian life-saving manoeuvres", Journal of Computational Science,Volume 57,2022,101483,

https://doi.org/10.1016/j.jocs.2021.101483.