相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。FMS scheduling with knowledge based genetic algorithm approach
A. Prakash et al.
EXPERT SYSTEMS WITH APPLICATIONS (2011)
An Improved Genetic Algorithm for the Distributed and Flexible Job-shop Scheduling problem
L. De Giovanni et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2010)
A modified genetic algorithm approach for scheduling of perfect maintenance in distributed production scheduling
S. H. Chung et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2009)
GA-based learning bias selection mechanism for real-time scheduling systems
Yeou-Ren Shiue et al.
EXPERT SYSTEMS WITH APPLICATIONS (2009)
Applications of particle swarm optimisation in integrated process planning and scheduling
Y. W. Guo et al.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2009)
Optimal distributed real-time scheduling of flexible manufacturing networks modeled as hybrid dynamical systems
A. V. Savkin et al.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2009)
A genetic algorithm for the Flexible Job-shop Scheduling Problem
F. Pezzella et al.
COMPUTERS & OPERATIONS RESEARCH (2008)
Genetic algorithms for job shop scheduling problems with alternative routings
Ilkyeong Moon et al.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2008)
Integration of genetic algorithm and Gantt chart for job shop scheduling in distributed manufacturing systems
H. Z. Jia et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2007)
Genetic algorithms for supply-chain scheduling: A case study in the distribution of ready-mixed concrete
David Naso et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2007)
Two new robust genetic algorithms for the flowshop scheduling problem
R Ruiz et al.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE (2006)
Solving distributed FMS scheduling problems subject to maintenance: Genetic algorithms approach
Felix T. S. Chan et al.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2006)
A PSO and a Tabu search heuristics for the assembly scheduling problem of the two-stage distributed database application
A Allahverdi et al.
COMPUTERS & OPERATIONS RESEARCH (2006)
An adaptive genetic algorithm with dominated genes for distributed scheduling problems
FTS Chan et al.
EXPERT SYSTEMS WITH APPLICATIONS (2005)
Hybrid tabu-simulated annealing based approach to solve multi-constraint product mix decision problem
N Mishra et al.
EXPERT SYSTEMS WITH APPLICATIONS (2005)
Sample-sort simulated annealing
DR Thompson et al.
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2005)
A very fast tabu search algorithm for the permutation flow shop problem with makespan criterion
J Grabowski et al.
COMPUTERS & OPERATIONS RESEARCH (2004)
A genetic algorithm for flow shop scheduling problems
O Etiler et al.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY (2004)
Modeling machine loading problem of FMSs and its solution methodology using a hybrid tabu search and simulated annealing-based heuristic approach
R Swarnkar et al.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2004)
Ant-colony algorithms for permutation flowshop scheduling to minimize makespan/total flowtime of jobs
C Rajendran et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2004)
Machine scheduling with job delivery coordination
YC Chang et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2004)
Intelligent scheduling controller for shop floor control systems: a hybrid genetic algorithm/decision tree learning approach
CT Su et al.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2003)
A modified genetic algorithm for distributed scheduling problems
HZ Jian et al.
JOURNAL OF INTELLIGENT MANUFACTURING (2003)
Negotiation-based multi-stage production control using distributed shortest path algorithm
KJ Wang
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING (2003)
Scheduling of flexible manufacturing systems: an ant colony optimization approach
R Kumar et al.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE (2003)
Treating uncertainty in distributed scheduling
AM Barroso et al.
JOURNAL OF SYSTEMS AND SOFTWARE (2002)
Production-distribution planning in supply chain using a hybrid approach
YH Lee et al.
PRODUCTION PLANNING & CONTROL (2002)