Particle Swarm Optimization (PSO) is a metaheuristic global optimization paradigm that has
gained prominence in the last two decades due to its ease of application in unsupervised …

The two stage assembly flowshop scheduling problem has a lot of applications, and hence,
it has recently received more attention in the scheduling literature. The performance …

Seru production system is one of responsive and flexible systems to cope with uncertain
demands or changes in current volatile market, and the design of this system involves many …

In this paper, we consider a permutation flowshop scheduling problem with deteriorating
jobs. The objective is to minimize the total tardiness of all jobs. A branch-and-bound …

The m-machine no-wait flowshop scheduling problem, with the objective of minimizing total
completion time subject to the constraint that makespan has to be less than or equal to a …

This paper proposes a novel hybrid algorithm in which simulated annealing algorithm starts
with a population of good initial solutions constructed by combining ant colony, clonal …

Particle swarm optimization (PSO) algorithm is simple stochastic global optimization
technique, but it exists unbalanced global and local search ability, slow convergence speed …

This study considers the well-known uncapacitated multiple allocation p-hub centre problem
(UMApHCP) and introduces its robust variant (UMApHCP-R) by involving flow variations …

Four multiresponse optimisation problems were simulated under the RSM framework to
represent real–life situations and provide a fair basis to compare the performance of …

Due to the low computational precision, local optimal solution and slow convergence speed
of particle swarm optimization (PSO) algorithm, an improved PSO (SAQPSO) algorithm …