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Evolutionary algorithm
Lieferkette
48
Supply chain
48
India
26
Theorie
26
Theory
26
Indien
24
Tourenplanung
19
Vehicle routing problem
19
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Evolutionärer Algorithmus
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Mathematische Optimierung
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Faktorenanalyse
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Ganesh, K.
13
Narendran, T. T.
4
Anbuudayasankar, S. P.
3
Sivakumar, P.
3
Arunkumar, T.
2
Dhanalakshmi, R.
2
Malairajan, R. A.
2
Parthiban, P.
2
Anand, P.
1
Anbumalar, V.
1
Arunachalam, Subramanian
1
Devika, M.
1
Haq, A. Noorul
1
Iskanius, Päivi
1
Kannan, Govindan
1
Koh, Lenny
1
Koh, Lenny S. .
1
Kumar, N. Suresh
1
Lee, Tzong-ru
1
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1
Muhos, Matti
1
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Pandian, Sivakumar
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International journal of services and operations management
5
International journal of information systems and supply chain management : JISSCM ; an official publication of the Information Resources Management Association
3
International journal of logistics economics and globalisation
2
Intelligent systems in operations : methods, models and applications in the supply chain
1
International journal of business information systems : IJBIS
1
International journal of logistics systems and management
1
International journal of production research
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ECONIS (ZBW)
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CLING : heuristic to solve integrated resource allocation and routing problem with time window
Malairajan, R. A.
;
Ganesh, K.
;
Muhos, Matti
;
Iskanius, …
- In:
International journal of services and operations management
13
(
2012
)
2
,
pp. 247-266
Persistent link: https://www.econbiz.de/10009660764
Saved in:
2
Genetic algorithm to solve multi-period, multi-product, bi-echelon supply chain network design problem
Dhanalakshmi, R.
;
Parthiban, P.
;
Ganesh, K.
;
Arunkumar, T.
- In:
International journal of information systems and supply …
2
(
2009
)
4
,
pp. 24-42
Persistent link: https://www.econbiz.de/10003903220
Saved in:
3
Genetic algorithm to solve multi-period, multi-product, bi-echelon supply chain network design problem
Dhanalakshmi, R.
;
Parthiban, P.
;
Ganesh, K.
;
Arunkumar, T.
- In:
Intelligent systems in operations : methods, models and …
,
(pp. 273-289)
.
2010
Persistent link: https://www.econbiz.de/10003987170
Saved in:
4
Evolving cost-effective routing of vehicles for blood bank logistics
Ganesh, K.
;
Narendran, T. T.
;
Anbuudayasankar, S. P.
- In:
International journal of logistics systems and management
17
(
2014
)
4
,
pp. 381-415
Persistent link: https://www.econbiz.de/10010395272
Saved in:
5
Genetic algorithm for inventory levels and routing structure optimization in two stage supply chain
Sivakumar, P.
;
Ganesh, K.
;
Punnniyamoorthy, M.
;
Koh, …
- In:
International journal of information systems and supply …
6
(
2013
)
2
,
pp. 33-49
Persistent link: https://www.econbiz.de/10010128217
Saved in:
6
Genetic algorithm and particle swarm optimization for solving balanced allocation problem of third party logistics providers
Rajesh, R.
;
Pugazhendhi, S.
;
Ganesh, K.
- In:
International journal of information systems and supply …
4
(
2011
)
1
,
pp. 24-44
Persistent link: https://www.econbiz.de/10008935230
Saved in:
7
Comparison of meta-heuristics for container ship routing problem
Santhanakrishnan, S.
;
Narendran, T. T.
;
Ganesh, K.
; …
- In:
International journal of services and operations management
12
(
2012
)
3
,
pp. 348-367
Persistent link: https://www.econbiz.de/10009574590
Saved in:
8
COG : a composite genetic algorithm with local search methods to solve a mixed vehicle routing problem with backhauls
Anbuudayasankar, S. P.
;
Ganesh, K.
;
Lee, Tzong-ru
; …
- In:
International journal of services and operations management
5
(
2009
)
5
,
pp. 617-636
Persistent link: https://www.econbiz.de/10003884855
Saved in:
9
Enhancing the retrieval performance in content based image retrieval using meta-heuristic approach
Umamaheswaran, S.
;
Kumar, N. Suresh
;
Ganesh, K.
; …
- In:
International journal of business information systems : …
26
(
2017
)
2
,
pp. 220-235
Persistent link: https://www.econbiz.de/10011856458
Saved in:
10
Design of cellular manufacturing system for power press industry to reduce total travelling time by hybrid algorithm
Shunmugasundaram, M.
;
Anbumalar, V.
;
Anand, P.
; …
- In:
International journal of services and operations management
34
(
2019
)
2
,
pp. 141-158
Persistent link: https://www.econbiz.de/10012154616
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