Abstract Particle Swarm Optimization (PSO), in its present form, has been in existence for
roughly a decade, with formative research in related domains (such as social modelling …

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 …

In this paper, a particle swarm optimization algorithm (PSO) is presented to solve the
permutation flowshop sequencing problem (PFSP) with the objectives of minimizing …

In this paper, a discrete particle swarm optimization (DPSO) algorithm is presented to solve
the no-wait flowshop scheduling problem with both makespan and total flowtime criteria. The …

Container terminals mainly include three types of handling equipment, ie, quay cranes
(QCs), internal trucks (ITs) and yard cranes (YCs). Due to high cost of the handling …

Particle swarm optimization (PSO) is a novel metaheuristic inspired by the flocking behavior
of birds. The applications of PSO to scheduling problems are extremely few. In this paper …

This paper presents the novel application of a collaborative population-based meta-heuristic
technique called Particle Swarm Optimization (PSO) to the scheduling of home care …

Rapid growth in the domain of Internet of Things (IoT) leads to massive deployment of
sensors and therefore the need to develop automatically reconfigurable complex wireless …

Flexible manufacturing system (FMS) enhances the firm's flexibility and responsiveness to
the ever-changing customer demand by providing a fast product diversification capability …

This paper presents a modified particle swarm optimization (MPSO) algorithm to minimize
the maximum lateness for the single batch-processing machine problem with non-identical …