, which tend to be expensive to solve. In this work, we present a new hybrid multi-objective OvS algorithm, which uses Kriging …-type metamodels to estimate the simulations results and a multi-objective evolutionary algorithm to manage the optimization process … obtained. The evolutionary part of the hybrid algorithm is based on the popular NSGA-II. The hybrid method is compared to the …

development process of a new Memetic Algorithm (MA) for optimizing partitioning problem of tandem AGVS. MAs employ a Genetic … Algorithm (GA), as a global search, and apply a local search to bring the solutions to a local optimum point. A new Tabu Search … algorithm is to minimize the maximum workload of the system. After all, the performance of the proposed algorithm is evaluated …

This study proposes a modified Particle Swarm Optimization (PSO) algorithm based on Hummingbird Flight (HBF) patterns … suites is conducted to verify the effectiveness of the proposed PSO-HBF algorithm. The proposed algorithm is also evaluated … demonstrated that the PSO-HBF algorithm is superior to seven other modified algorithms, improving eight and ten functions on the …