A new approach to solve hybrid flow shop scheduling problems by artificial immune system
Future Generation Computer Systems - Special issue: Computational science of lattice Boltzmann modelling
A Genetic Algorithm for Hybrid Flow-shop Scheduling with Multiprocessor Tasks
Journal of Scheduling
Fundamentals of Computational Swarm Intelligence
Fundamentals of Computational Swarm Intelligence
A discrete version of particle swarm optimization for flowshop scheduling problems
Computers and Operations Research
An effective hybrid PSO-based algorithm for flow shop scheduling with limited buffers
Computers and Operations Research
A discrete particle swarm optimization algorithm for the no-wait flowshop scheduling problem
Computers and Operations Research
A new particle swarm optimization for the open shop scheduling problem
Computers and Operations Research
A novel differential evolution algorithm for bi-criteria no-wait flow shop scheduling problems
Computers and Operations Research
Computers and Operations Research
Discrete cooperative particle swarm optimization for FPGA placement
Applied Soft Computing
PSO-Based model predictive control for nonlinear processes
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
A case study on using evolutionary algorithms to optimize bakery production planning
Expert Systems with Applications: An International Journal
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Hybrid flow shops (HFS) are common manufacturing environments in many industries, such as the glass, steel, paper and textile industries. In this paper, we present a particle swarm optimization (PSO) algorithm for the HFS scheduling problem with minimum makespan objective. The main contribution of this paper is to develop a new approach hybridizing PSO with bottleneck heuristic to fully exploit the bottleneck stage, and with simulated annealing to help escape from local optima. The proposed PSO algorithm is tested on the benchmark problems provided by Carlier and Neron. Experimental results show that the proposed algorithm outperforms all the compared algorithms in solving the HFS problem.