An effective hybrid particle swarm optimization algorithm for multi-objective flexible job-shop scheduling problem

By Guohui Zhang, Xinyu Shao, Peigen Li, Liang Gao. Computers & industrial engineering, 2009

528 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/de1d6f1cb001fbc82c3c87a9bbb859089f703b06

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

In Industrial and Manufacturing Engineering

Citations in the corpus

A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems (2019, methodology): “More and more swarm intelligence (SI) and evolutionary algorithms (EA) have thus been employed to solve FJSP in recent years, including genetic algorithm (GA) [6]–[48], particle swarm optimization (PSO) [49]–[62], ant colony optimization (ACO) [63]–[70], tabu search (TS) [71]–[81], artificial bee co”
An effective and distributed particle swarm optimization algorithm for flexible job-shop scheduling problem (2015, methodology): “Where: ‘AL+GA’ refers to (Kacem et al. 2002), ‘PSO+SA’ refers to (Xia and Wu 2005), ‘PSO+TS’ refers to (Zhang et al. 2009) and ‘GA+HC’ refers to (Motaghedi-larijani et al. 2010).”
Sequence-dependent setup time flexible job shop scheduling problem to minimise total tardiness (2013, background): “*Email: mousakhani@srbiau.ac.ir International Journal of Production Research, 2013 Vol. 51, No. 12, 3476–3487, http://dx.doi.org/10.1080/00207543.2012.746480 2013 Taylor & Francis Zhang et al. (2009) propose the combination of particle swarm optimisation and tabu search.”
A research survey: review of flexible job shop scheduling techniques (2016, methodology): “Dynamic FJSSP with stochastic breakdowns Makespan Minimum of mean tardiness 56 Zhang et al. (2009) Research PSO + TS Minimum of makespan, workload of most loaded machine, total workload of machines 197 Xing et al. (2010) Research ACO + knowledge model Makespan 142 MotaghediLarijani et al.…”