Adaptive Multi-objective Local Search Algorithms for the Permutation Flowshop Scheduling Problem

Evolutionary Computation in Combinatorial Optimization - Lecture Notes in Computer Science ◽

GPU-Based Approaches for Multiobjective Local Search Algorithms. A Case Study: The Flowshop Scheduling Problem

10.1007/978-3-642-20364-0_14 ◽

2011 ◽

pp. 155-166 ◽

Cited By ~ 4

Author(s):

Thé Van Luong ◽

Nouredine Melab ◽

El-Ghazali Talbi

Keyword(s):

Local Search ◽

Search Algorithms ◽

Scheduling Problem ◽

Flowshop Scheduling ◽

Local Search Algorithms ◽

Effective Hybrid Stochastic Local Search Algorithms for Biobjective Permutation Flowshop Scheduling

Hybrid Metaheuristics - Lecture Notes in Computer Science ◽

10.1007/978-3-642-04918-7_8 ◽

2009 ◽

pp. 100-114 ◽

Cited By ~ 8

Author(s):

Jérémie Dubois-Lacoste ◽

Manuel López-Ibáñez ◽

Thomas Stützle

Keyword(s):

Local Search ◽

Search Algorithms ◽

Stochastic Local Search ◽

Flowshop Scheduling ◽

Local Search Algorithms ◽

Permutation Flowshop

A hybrid genetic local search algorithm for the permutation flowshop scheduling problem

European Journal of Operational Research ◽

10.1016/j.ejor.2008.08.023 ◽

2009 ◽

Vol 198 (1) ◽

pp. 84-92 ◽

Cited By ~ 79

Author(s):

Lin-Yu Tseng ◽

Ya-Tai Lin

Keyword(s):

Local Search ◽

Search Algorithm ◽

Scheduling Problem ◽

Local Search Algorithm ◽

Flowshop Scheduling ◽

Permutation Flowshop ◽

Genetic Local Search

2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO) ◽

Iterated local search and iterated greedy local search for two machines permutation flowshop scheduling problem with time lag

10.1109/icmsao.2013.6552659 ◽

2013 ◽

Author(s):

Amdouni Hajer ◽

Ladhari Talel

Keyword(s):

Local Search ◽

Time Lag ◽

Iterated Local Search ◽

Scheduling Problem ◽

Flowshop Scheduling ◽

Permutation Flowshop ◽

Iterated Greedy ◽

Two Machines ◽

Greedy Local Search

2015 20th International Conference on Methods and Models in Automation and Robotics (MMAR) ◽

Solving multi-objective permutation flowshop scheduling problem using CUDA

10.1109/mmar.2015.7283900 ◽

2015 ◽

Author(s):

Dominik Zelazny ◽

Jaroslaw Pempera

Keyword(s):

Scheduling Problem ◽

Flowshop Scheduling ◽

Permutation Flowshop ◽

Multi Objective ◽

An iterated local search for the multi-objective permutation flowshop scheduling problem with sequence-dependent setup times

Applied Soft Computing ◽

10.1016/j.asoc.2016.11.031 ◽

2017 ◽

Vol 52 ◽

pp. 39-47 ◽

Cited By ~ 24

Author(s):

Jianyou Xu ◽

Chin-Chia Wu ◽

Yunqiang Yin ◽

Win-Chin Lin

Keyword(s):

Local Search ◽

Iterated Local Search ◽

Setup Times ◽

Scheduling Problem ◽

Flowshop Scheduling ◽

Permutation Flowshop ◽

Sequence Dependent Setup ◽

Dependent Setup Times ◽

Sequence Dependent Setup Times

A machine-learning based memetic algorithm for the multi-objective permutation flowshop scheduling problem

Computers & Operations Research ◽

10.1016/j.cor.2016.10.003 ◽

2017 ◽

Vol 79 ◽

pp. 60-77 ◽

Cited By ~ 22

Author(s):

Xianpeng Wang ◽

Lixin Tang

Keyword(s):

Machine Learning ◽

Memetic Algorithm ◽

Scheduling Problem ◽

Flowshop Scheduling ◽

Permutation Flowshop ◽

Multi Objective ◽

A GRASP heuristic for the multi-objective permutation flowshop scheduling problem

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-010-3100-x ◽

2010 ◽

Vol 55 (5-8) ◽

pp. 741-753 ◽

Cited By ~ 15

Author(s):

José Elias Claudio Arroyo ◽

Ana Amélia de Souza Pereira

Keyword(s):

Scheduling Problem ◽

Flowshop Scheduling ◽

Permutation Flowshop ◽

Multi Objective ◽

Grasp Heuristic

A genetic local search algorithm for minimizing total flowtime in the permutation flowshop scheduling problem

International Journal of Production Economics ◽

10.1016/j.ijpe.2010.05.003 ◽

2010 ◽

Vol 127 (1) ◽

pp. 121-128 ◽

Cited By ~ 32

Author(s):

Lin-Yu Tseng ◽

Ya-Tai Lin

Keyword(s):

Local Search ◽

Search Algorithm ◽

Scheduling Problem ◽

Local Search Algorithm ◽

Flowshop Scheduling ◽

Permutation Flowshop ◽

Total Flowtime ◽

Genetic Local Search

A Novel Strategy Adaptive Genetic Algorithm with Greedy Local Search for the Permutation Flowshop Scheduling Problem

Swarm, Evolutionary, and Memetic Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-642-35380-2_80 ◽

2012 ◽

pp. 687-696

Author(s):

Srinjoy Ganguly ◽

Swahum Mukherjee ◽

Debabrota Basu ◽

Swagatam Das

Keyword(s):

Genetic Algorithm ◽

Local Search ◽

Adaptive Genetic Algorithm ◽

Scheduling Problem ◽

Flowshop Scheduling ◽

Permutation Flowshop ◽

Novel Strategy ◽

Greedy Local Search