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Credit Card Fraud Detection Using Asexual Reproduction Optimization
As the number of credit card users has increased, detecting fraud in this domain has become a vital issue.
A New Algorithm for Hidden Markov Models Learning Problem
This research aims by using the theoretical and experimental analysis to 1) compare HMMs learning algorithms proposed in the literature, 2) provide a validation tool for new HMM learning algorithms, and 3) present a new algorithm called Asexual Reproduction Optimization (ARO) with one of its extensions - Modified ARO (MARO) - as a novel HMM learning algorithm to use the validation tool proposed.
Markowitz-based cardinality constrained portfolio selection using Asexual Reproduction Optimization (ARO)
These results are used in order to test the efficiency of our proposed method in comparison to other existing metaheuristic solutions.
Portfolio Optimization
Optimization and Control
