A genetic algorithm for multi-level, multi-machine lot sizing and scheduling

This contribution introduces a mixed-integer programming formulation for the multi-level, multi-machine proportional lot sizing and scheduling problem. It also presents a genetic algorithm to solve that problem. The efficiency of that algorithm is due to an encoding of solutions which uses a two-dim...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Computers & operations research Ročník 26; číslo 8; s. 829 - 848
Hlavní autor:	Kimms, A.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Oxford Elsevier Ltd 01.07.1999 Elsevier Science Pergamon Press Inc
Témata:	Algorithms Applied sciences Exact sciences and technology Genetic algorithms Integer programming Manufacturing resource planning Multi-level lot sizing Operational research and scientific management Operational research. Management science Operations research PLSP Scheduling Scheduling, sequencing Studies Scheduling PLSP Multi-level lot sizing Genetic algorithms Manufacturing resource planning Mixed integer programming Lot sizing Genetic algorithm Multilevel system
ISSN:	0305-0548, 1873-765X, 0305-0548
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!