Search Results - subject:"Genetic Algorithm"

Hybrid metaheuristic algorithm methods and econometric models in prediction of dogecoin price

Farahani, Milad Shahvaroughi; Babaei, Shiva; Kharazan, … - 2025

Persistent link: https://www.econbiz.de/10015373153

Diagnosis of heart disease using an advanced triple hybrid algorithm combining machine learning techniques

Mostofi, Shokoofa; Sheikhani, Amir Hosein Refahi; … - 2025

Persistent link: https://www.econbiz.de/10015373017

Self-organisation migration technique for enhancing the permutation coded genetic algorithm

Dinesh, Kamala Kannan; Rajakumar, R.; Subramanian, R. - In: International journal of applied management science : IJAMS 13 (2021) 1, pp. 15-36

Persistent link: https://www.econbiz.de/10012505021

Bi-objective optimisation of the joint replenishment problem in a two-echelon supply chain

Ahmadi, Pejman; Pasandideh, Hamid Reza; … - In: International journal of services and operations … 38 (2021) 3, pp. 336-359

Persistent link: https://www.econbiz.de/10012522368

Traders, forecasters and financial instability : a model of individual learning of anchor-and-adjustment heuristics

Makarewicz, Tomasz - 2019

Behavioral and experimental literature on financial instability focuses on either subjective price expectations (Learning-to-Forecast experiments) or individual trading (Learning-to-Optimize experiments). Bao et al. (2017) have shown that subjects have problems with both tasks. In this paper, I...

Persistent link: https://www.econbiz.de/10011956452

Solving the bi-level problem of a closed optimization of electricity price zone configurations using a genetic algorithm

Felling, Tim - 2019

show that the genetic algorithm achieves best results in terms of system costs. Moreover, the comparison with solutions … in terms of system costs and - given the size and nature of the problem - solves it with a specially developed genetic … algorithm. Resulting price zone configurations are compared to both exogenously given, expert-based price zone configurations …

Persistent link: https://www.econbiz.de/10012038968

GA-based optimization for optimally placed and properly coordinated control of distributed generations and Static Var Compensator in distribution networks

Singh, Bindeshwar; Mukherjee, Vivekananda; Tiwari, Prabhakar - In: Energy reports 5 (2019), pp. 926-959

This paper presents the impact assessment of distributed generations (DGs) (such as T2 and T4 i.e operating at different power factors such as 0.85, 0.90, 0.95 and 0.99 leading and lagging, respectively) and flexible alternating current transmission systems (FACTS) controllers like SVC with...

Persistent link: https://www.econbiz.de/10012041755

Credit valuation adjustment compression by genetic optimization

Chataigner, Marc; Crépey, Stéphane - In: Risks : open access journal 7 (2019) 4/100, pp. 1-21

possible. In this work, we present a genetic algorithm applied to the compression of credit valuation adjustment (CVA), the …

Persistent link: https://www.econbiz.de/10012128035

A genetic algorithm for investment–consumption optimization with value-at-risk constraint and information-processing cost

Jin, Zhuo; Yang, Zhixin; Yuan, Quan - In: Risks : open access journal 7 (2019) 1/32, pp. 1-15

can only make decisions on the basis of the limited observed signals. A genetic algorithm was developed to find the …

Persistent link: https://www.econbiz.de/10012015814

Reverse engineering of option pricing : an AI application

Herzog, Bodo; Osamah, Sufyan - In: International Journal of Financial Studies : open … 7 (2019) 4/68, pp. 1-12

This paper studies option pricing based on a reverse engineering (RE) approach. We utilize artificial intelligence in order to numerically compute the prices of options. The data consist of more than 5000 call- and put-options from the German stock market. First, we find that option pricing...

Persistent link: https://www.econbiz.de/10012150380