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1
Investment using evolutionary learning methods and technical rules
Kaucic, Massimiliano
- In:
European journal of operational research : EJOR
207
(
2010
)
3
,
pp. 1717-1727
Persistent link: https://www.econbiz.de/10008702068
Saved in:
2
An effective hybrid evolutionary algorithm for the clustered orienteering problem
Wu, Qinghua
;
He, Mu
;
Hao, Jin-Kao
;
Lu, Yongliang
- In:
European journal of operational research : EJOR
313
(
2024
)
2
,
pp. 418-434
Persistent link: https://www.econbiz.de/10014456579
Saved in:
3
Evolutionary behaviors regarding pricing and payment-convenience strategies with uncertain risk
Johari, Maryam
;
Hosseini-Motlagh, Seyyed-Mahdi
- In:
European journal of operational research : EJOR
297
(
2022
)
2
,
pp. 600-614
Persistent link: https://www.econbiz.de/10013259797
Saved in:
4
Environmental policy regulation and corporate compliance in evolutionary game models with well-mixed and structured populations
Rocha, André Barreira da Silva
;
Meyer Salomão, Gabriel
- In:
European journal of operational research : EJOR
279
(
2019
)
2
,
pp. 486-501
Persistent link: https://www.econbiz.de/10012110720
Saved in:
5
An incentive compatible ZD strategy-based data sharing model for federated learning : a perspective of iterated prisoner's dilemma
Jie, Yingmo
;
Liu, Charles Zhechao
;
Choo, Kim-Kwang Raymond
- In:
European journal of operational research : EJOR
315
(
2024
)
2
,
pp. 764-776
Persistent link: https://www.econbiz.de/10014565296
Saved in:
6
Learning equilibrium in bilateral bargaining games
Bichler, Martin
;
Kohring, Nils
;
Oberlechner, Matthias
; …
- In:
European journal of operational research : EJOR
311
(
2023
)
2
,
pp. 660-678
Persistent link: https://www.econbiz.de/10014336740
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7
A framework to design game
theory
-based interventions for strategic analysis of real-world problems with stakeholders
Bekius, Femke
;
Gomes, Sharlene L.
- In:
European journal of operational research : EJOR
309
(
2023
)
2
,
pp. 925-938
Persistent link: https://www.econbiz.de/10014292752
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8
Interactive preference analysis : a reinforcement learning framework
Hu, Xiao
;
Kang, Siqin
;
Ren, Long
;
Zhu, Shaokeng
- In:
European journal of operational research : EJOR
319
(
2024
)
3
,
pp. 983-998
Persistent link: https://www.econbiz.de/10015085075
Saved in:
9
Evolutionary optimisation of noisy multi-objective problems using confidence-based dynamic resampling
Syberfeldt, Anna
;
Ng, Amos
;
John, Robert I.
;
Moore, Philip
- In:
European journal of operational research : EJOR
204
(
2010
)
3
,
pp. 533-544
Persistent link: https://www.econbiz.de/10003955967
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10
A software framework based on a conceptual unified model for evolutionary multiobjective optimization : ParadisEO-MOEO
Liefooghe, Arnaud
;
Jourdan, Laetitia
;
Talbi, El-Ghazali
- In:
European journal of operational research : EJOR
209
(
2011
)
2
,
pp. 104-112
Persistent link: https://www.econbiz.de/10008798679
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