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## Abstract Production, Manufacturing and Logistics (1999)

### Citations

10043 |
Genetic Algorithms
- Goldberg
- 1989
(Show Context)
Citation Context ...aling with large combinatorial optimisation problems (Nagar et al., 1995). Genetic algorithms (GA) are stochastic search techniques for approximating ÔoptimalÕ solutions within complex search spaces (=-=Goldberg, 1989-=-; Gen and Cheng, 1997). The technique is based upon the theory of evolution, in which the fitness of an individual determines its ability to survive and reproduce. Many authors including Croce et al. ... |

1341 | Tcl and the Tk Toolkit.
- Ousterhout
- 1994
(Show Context)
Citation Context ...facturing processes. In this research, the general procedure for GA (Goldberg, 1989) was modified. The modified GAsprogram was written approximately 4000 lines of code in Tcl/Tk programming language (=-=Ousterhout, 1994-=-). The algorithm is illustrated in Fig. 2. A repair process was added in order to rectify infeasible schedules that can be produced by genetic operations. 3.1. Problem encoding P. Pongcharoen et al. /... |

498 |
Principles of Sequencing and Scheduling
- Baker, Trietsch
- 2009
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Citation Context ...; Complex products 1. Introduction European Journal of Operational Research 152 (2004) 215–225 Scheduling may be defined as ‘‘the allocation of resources over time to perform a collection of tasks’’ (=-=Baker, 1974-=-). Scheduling problems in their simple static and deterministic forms are extremely simple to describe and formulate, but are difficult to solve because they involve complex combina* Corresponding aut... |

219 |
A dynamic programming approach to sequencing problems,”
- Held, Karp
- 1962
(Show Context)
Citation Context ...ur in the literature (Jain and Meeran, 1999). Algorithms may be classified into two types: conventional optimisation algorithms, such as integer linear programming (Manne, 1960), dynamic programming (=-=Held and Karp, 1962-=-) and branch and bound (Greenberg, 1968); or approximation optimisation algorithms including simulated annealing (Kolonko, 1999), taboo search (Nowicki and Smutnicki, 1996 and Ben-Daya and Al-Fawzan, ... |

167 |
A fast taboo search algorithm for the job shop problem,”
- Nowicki, Smutnicki
- 1996
(Show Context)
Citation Context ... (Manne, 1960), dynamic programming (Held and Karp, 1962) and branch and bound (Greenberg, 1968); or approximation optimisation algorithms including simulated annealing (Kolonko, 1999), taboo search (=-=Nowicki and Smutnicki, 1996-=- and Ben-Daya and Al-Fawzan, 1998) and genetic algorithms (Tsujimura et al., 1997; Todd, 1997). The approximation optimisation algorithms tend to be most suitable for dealing with large combinatorial ... |

91 | Scheduling computer and manufacturing processes. - Blazewicz, Ecker, et al. - 1996 |

41 | A genetic algorithm for the job shop problem,” - Croce, Tadei, et al. - 1995 |

41 |
Some new results on simulated annealing applied to the job shop scheduling problem.
- Kolonko
- 1999
(Show Context)
Citation Context ... as integer linear programming (Manne, 1960), dynamic programming (Held and Karp, 1962) and branch and bound (Greenberg, 1968); or approximation optimisation algorithms including simulated annealing (=-=Kolonko, 1999-=-), taboo search (Nowicki and Smutnicki, 1996 and Ben-Daya and Al-Fawzan, 1998) and genetic algorithms (Tsujimura et al., 1997; Todd, 1997). The approximation optimisation algorithms tend to be most su... |

35 |
On the Job-Shop Scheduling Problem.
- Manne
- 1960
(Show Context)
Citation Context ... scheduling problems has found favour in the literature (Jain and Meeran, 1999). Algorithms may be classified into two types: conventional optimisation algorithms, such as integer linear programming (=-=Manne, 1960-=-), dynamic programming (Held and Karp, 1962) and branch and bound (Greenberg, 1968); or approximation optimisation algorithms including simulated annealing (Kolonko, 1999), taboo search (Nowicki and S... |

31 |
Multiple and bicriteria scheduling: a literature survey.
- Nagar, Haddock, et al.
- 1995
(Show Context)
Citation Context ...wzan, 1998) and genetic algorithms (Tsujimura et al., 1997; Todd, 1997). The approximation optimisation algorithms tend to be most suitable for dealing with large combinatorial optimisation problems (=-=Nagar et al., 1995-=-). Genetic algorithms (GA) are stochastic search techniques for approximating ÔoptimalÕ solutions within complex search spaces (Goldberg, 1989; Gen and Cheng, 1997). The technique is based upon the th... |

28 | Global job shop scheduling with genetic algorithm and machine learning. ORSA/TIMES - Lee, Piramuthu - 1994 |

17 | Multiple Criteria Genetic Algorithms in Engineering Design and Operation
- Todd
- 1997
(Show Context)
Citation Context ...tion optimisation algorithms including simulated annealing (Kolonko, 1999), taboo search (Nowicki and Smutnicki, 1996 and Ben-Daya and Al-Fawzan, 1998) and genetic algorithms (Tsujimura et al., 1997; =-=Todd, 1997-=-). The approximation optimisation algorithms tend to be most suitable for dealing with large combinatorial optimisation problems (Nagar et al., 1995). Genetic algorithms (GA) are stochastic search tec... |

12 |
A tabu search approach for the flow shop scheduling problem.
- Ben-Daya, Al-Fawzan
- 1998
(Show Context)
Citation Context ...ing (Held and Karp, 1962) and branch and bound (Greenberg, 1968); or approximation optimisation algorithms including simulated annealing (Kolonko, 1999), taboo search (Nowicki and Smutnicki, 1996 and =-=Ben-Daya and Al-Fawzan, 1998-=-) and genetic algorithms (Tsujimura et al., 1997; Todd, 1997). The approximation optimisation algorithms tend to be most suitable for dealing with large combinatorial optimisation problems (Nagar et a... |

8 |
A branch and bound solution to the general scheduling problem
- Greenberg
- 1968
(Show Context)
Citation Context ...). Algorithms may be classified into two types: conventional optimisation algorithms, such as integer linear programming (Manne, 1960), dynamic programming (Held and Karp, 1962) and branch and bound (=-=Greenberg, 1968-=-); or approximation optimisation algorithms including simulated annealing (Kolonko, 1999), taboo search (Nowicki and Smutnicki, 1996 and Ben-Daya and Al-Fawzan, 1998) and genetic algorithms (Tsujimura... |

3 | Dispatching rules for scheduling in assembly jobshops - Part 2 - Reeja, Rajendran - 2000 |

1 | et al. / European Journal of Operational Research 152 (2004) 215–225 225 - Pongcharoen - 1997 |

1 |
Deterministic job shop scheduling: Part, present and future
- Jain, Meeran
- 1999
(Show Context)
Citation Context ...nce relationships between operation and assembly sequences. 3. Genetic algorithms in production scheduling The selection of algorithms to solve scheduling problems has found favour in the literature (=-=Jain and Meeran, 1999-=-). Algorithms may be classified into two types: conventional optimisation algorithms, such as integer linear programming (Manne, 1960), dynamic programming (Held and Karp, 1962) and branch and bound (... |