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Chapter 24 Agent-based Computational Finance

LeBaron, Blake - In: Handbook of computational economics : volume 2, …, (pp. 1187-1233). 2006

This chapter surveys research on agent-based models used in finance. It will concentrate on models where the use of computational tools is critical for the process of crafting models which give insights into the importance and dynamics of investor heterogeneity in many financial settings.

Persistent link: https://www.econbiz.de/10014024381

Automated slideshow design from a set of photos based on a hybrid metaheuristic approach

Arbneshi, Labeat; Sylejmani, Kadri; Halili, Ndriçim; … - In: Operations research forum 4 (2023) 4, pp. 1-28

Persistent link: https://www.econbiz.de/10014388612

Optimal dividend bands revisited : a gradient-based method and evolutionary algorithms

Albrecher, Hansjörg; Garcia Flores, Brandon - In: Scandinavian actuarial journal 2023 (2023) 8, pp. 788-810

Persistent link: https://www.econbiz.de/10014383971

Humanitarian demining for the clearance of landmine-affected areas

Camacho-Sanchez, Carolay; Yie-Pinedo, Ruben; Galindo … - In: Socio-economic planning sciences : the international … 88 (2023), pp. 1-13

Persistent link: https://www.econbiz.de/10014370363

A genetic algorithm for scheduling open shops with conflict graphs to minimize the makespan

Tellache, Nour El Houda; Kerbache, Laoucine - In: Computers & operations research : and their … 156 (2023), pp. 1-22

Persistent link: https://www.econbiz.de/10014373685

Multicriteria decision-making framework for supplier selection : a customer community-driven approach

Sun, Zhao-Hui; Ming, Xinguo - In: IEEE transactions on engineering management : EM 70 (2023) 10, pp. 3434-3450

Persistent link: https://www.econbiz.de/10014387987

Fitness landscapes of buffer allocation problem for production lines with unreliable machines

Dolgui, Alexandre; Eremeev, Anton V.; Sigaev, Vyatcheslav S. - In: Computers & operations research : an international journal 172 (2024), pp. 1-12

Persistent link: https://www.econbiz.de/10015066899

A general view of big data and machine learning

Görçün, Özhan; Küçükönder, Hande - In: Logistics 4.0 and future of supply chains, (pp. 49-61). 2022

Persistent link: https://www.econbiz.de/10012820109

A genetic algorithm for scheduling both jobs families and skilled workforce

Costa, Antonio; Fichera, Sergio; Cappadonna, Fulvio A. - In: International journal of operations and quantitative … 19 (2013) 4, pp. 221-247

Persistent link: https://www.econbiz.de/10010253586

An extended Akers graphical method with a biased random-key genetic algorithm for job-shop scheduling

Gonçalves, José Fernando; Resende, Mauricio G. C. - In: International transactions in operational research : … 21 (2014) 2, pp. 215-246

Persistent link: https://www.econbiz.de/10010256680