Metaheuristics are an impressive area of research with extremely important improvements in
the solution of intractable optimization problems. Major advances have been made since the …

Inthis study, a flexible job shop scheduling problem with time-of-use electricity price
constraint is considered. The problem includes machine processing speed, setup time, idle …

To solve the hybrid flow-shop scheduling problem in sand casting enterprises with
multivariate and multistage production characteristics, an improved cuckoo algorithm was …

Over the last decade, the Internet of Things (IoT) has become ever more popular, as is
evident from its role in changing the human lifestyle and conferring remarkable privileges for …

Lévy flight is a random walk mechanism which can make large jumps at local locations with
a high probability. The probability density distribution of Lévy flight was characterized by …

As a novel swarm intelligence optimization algorithm, cuckoo search (CS), has been
successfully applied to solve various optimization problems. Despite its simplicity and …

The job-shop scheduling problem (JSSP) is encountered in several industries, including the
military where heat treatment is applied prior to the machining process in production. This …

A proper planning of path along with task management makes a multi-robot system quicker
in task completion and fuel efficient. However, the previous related literature has explored a …

This paper formulates multi-objective (MO) generation scheduling problem of an integrated
energy system (IES). The integrated energy system comprises combined heat and power …

Cuckoo search is a simple yet effective evolutionary algorithm for solving numerical
optimization problems. Recently, many variants of cuckoo search have been developed to …