A modified Covariance Matrix Adaptation Evolution Strategy with adaptive penalty function and restart for constrained optimization
In the last decades, a number of novel meta-heuristics and hybrid algorithms have been proposed to solve a great variety of optimization problems. Among these, constrained optimization problems are considered of particular interest in applications from many different domains. The presence of multiple constraints can make optimization problems particularly hard to solve, thus imposing the
Vinícius Veloso de Melo is an Assistant Professor of Computer Science at