Hyper-heuristics aim at interchanging different solvers while solving a problem. The idea is
to determine the best approach for solving a problem at its current state. This way, every time …

Facility layout problems have a significant impact on the productivity and efficiency of the
manufacturing systems. Generally, layout problems deal with the optimization of facility …

Most research on improving differential evolution algorithms has focused on mutation
operator and parameter control. In this paper, a new selection operator is proposed to …

Abstract The Capacitated Vehicle Routing Problem is a well-known combinatorial problem.
In this paper, we propose a hybrid algorithm based on a discrete adaptation of the …

The Quadratic Assignment Problem (QAP) is one of the classical combinatorial optimization
problems and is known for its diverse applications. The QAP is an NP-hard optimization …

The optimization of the Kaplan-Yorke dimension (DKY) of fractional-order chaotic oscillators
(FOCOs) is shown herein by applying two metaheuristics, namely: differential evolution and …

Capacitated Vehicle Routing Problem (CVRP) is considered as one of the most famous
specialized forms of VRP that has attracted considerable attention from researchers. This …

Infectious diseases pose a severe threat to human health, especially the outbreak of COVID-
19. After the infectious disease enters the stage of large-scale epidemics, vaccination is an …

Artificial bee colony (ABC) is one of the widely used swarm intelligence algorithms in solving
combinatorial optimization problems. In this study, the existing Modified ABC (MABC) …

To address the poor searchability, population diversity, and slow convergence speed of the
differential evolution (DE) algorithm in solving capacitated vehicle routing problems (CVRP) …