Hybrid Surrogate-Based Constrained Optimization With a New Constraint-Handling Method
Hybrid Surrogate-Based Constrained Optimization With a New Constraint-Handling Method is a scholarly work, published in 2020 in ''IEEE Transactions on Cybernetics''. The main subjects of the publication include constraint, Continuous optimization, feasible region, subspace topology, swarm intelligence, multi-objective optimization, computer science, Penalty method, mathematical optimization, optimization problem, mathematics, -, and surrogate model. Such a hybrid optimization strategy can help the optimization process converge to the global optimal solution within a given maximum number of function evaluations, as demonstrated in the experimental results on 23 test problems.