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Now showing items 11-19 of 19
Migrating birds optimization: a new metaheuristic approach and its performance on quadratic assignment problem
(Elsevier, 2012-12-25)
We propose a new nature inspired metaheuristic approach based on the V flight formation of the migrating birds which is proven to be an effective formation in energy saving. Its performance is tested on quadratic assignment ...
Optimal ATM replenishment policies under demand uncertainty
(Springer Nature, 2019)
The use of Automated Teller Machines (ATMs) has become increasingly popular throughout the world due to the widespread adoption of electronic financial transactions and better access to financial services in many countries. ...
Benchmarking regression algorithms for income prediction modeling
(Elsevier, 2016)
This paper aims to predict incomes of customers for banks. In this large-scale income prediction benchmarking paper, we study the performance of various state-of-the-art regression algorithms (e.g. ordinary least squares ...
Benchmarking regression algorithms for income prediction modeling
(IEEE, 2015)
This paper aims to predict incomes of customers for banks. In this large-scale income prediction benchmarking paper, we study the performance of various state-of-the-art regression algorithms (e.g. ordinary least squares ...
Profit-based artificial neural network (ANN) trained by migrating birds optimization: a case study in credit card fraud detection
(World Academy of Science, Engineering and Technology, 2015)
A typical classification technique ranks the instances in a data set according to the likelihood of belonging to one (positive) class. A credit card (CC) fraud detection model ranks the transactions in terms of probability ...
Intelligent classification-based methods in customer profitability modeling
(Springer International Publishing, 2015)
The expected profits from customers are important informations for the companies in giving acquisition/retention decisions and developing different strategies for different customer segments. Most of these decisions can ...
Preface: 13th cologne-twente workshop on graphs and combinatorial optimization (CTW 2015)
(Elsevier, 2019-01-10)
N/A
Comparison of computational intelligence models on forecasting automated teller machine cash demands
(Old City Publishing, 2020)
We take up the problem of forecasting the amount of money to be withdrawn from automated teller machines (ATM). We compare the performances of eleven different algorithms from four different research areas on two different ...
An extension to the classical mean–variance portfolio optimization model
(Taylor & Francis, 2019-07)
The purpose of this study is to find a portfolio that maximizes the risk-adjusted returns subject to constraints frequently faced during portfolio management by extending the classical Markowitz mean-variance portfolio ...
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