Searching for authors named "Athanasios Tsakonas" – sorted by Relevance.
14 documents found, showing 1 through 10.
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Hybrid Computational Intelligence Schemes in Complex Domains: An Extended Review
- …The increased popularity of hybrid intelligent systems in recent times lies to the extensive success of these systems in many real-world complex problems. The main reason for this success seems to be the synergy derived by the computational intelligent components, such as machine learning, fuzzy…
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Decision Making on Noisy Time-Series Data Under a Neuro-Genetic Fuzzy Rule-Based System Approach
- …: This paper reflects our study on the efficiency and the characteristics of a fuzzy rulebased system when used for forecasting in noisy data such as stock market returns for daily decision making. From previous work, we may consider that, such a kind of data is usually distinguished by a stochastic…
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A Scheme for the Evolution of Feedforward Neural Networks using BNF-Grammar Driven Genetic Programming
- …This paper presents our attempt to automatically define feedforward neural networks using genetic programming. Neural networks have been recognized as powerful approximation and classification tools. On the other hand, the genetic programming has been used effectively for the production of intellige…
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APPLICATION OF GENETIC PROGRAMMING IN SOFTWARE ENGINEERING EMPIRICAL DATA MODELLING
- …Research in software engineering data analysis has only recently incorporated computational intelligence methodologies. Among these approaches, genetic programming retains a remarkable position, facilitating symbolic regression tasks. In this paper, we demonstrate the effectiveness of the genetic pr…
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DERIVING MODELS FOR SOFTWARE PROJECT EFFORT ESTIMATION BY MEANS OF GENETIC PROGRAMMING
- …Software engineering, effort estimation, genetic programming, symbolic regression. This paper presents the application of a computational intelligence methodology in effort estimation for software projects. Namely, we apply a genetic programming model for symbolic regression; aiming to produce mathe…
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Predicting Defects in Software Using Grammar-Guided Genetic Programming
- …Abstract. The knowledge of the software quality can allow an organization to allocate the needed resources for the code maintenance. Maintaining the software is considered as a high cost factor for most organizations. Consequently, there is need to assess software modules in respect of defects that …
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Application of Fundamental Analysis and Computational Intelligence in Dry Cargo Freight Market
- …ABSTRACT: The aim of this work is to explore and estimate the short-term prediction efficiency, using two alternative approaches: the fundamental analysis on factors affecting the Baltic Panamax Index (BPI) evolution, and a computational intelligence approach based on neuro-fuzzy technique. In order…
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Evolving Neural-Symbolic Systems Guided by Adaptive Training Schemes: Applications in Finance
- …ABSTRACT: The paper presents a hybrid and adaptive intelligent methodology, based on neural logic networks and grammar-guided genetic programming. The aim of the study is to demonstrate how to generate efficient neural logic networks with the aid of genetic programming methods trained adaptively thr…
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Generalized Short-stage Multichannel Queuing Models Using Genetic Algorithms: A Real-World Application to Seaports
- …This paper introduces genetic algorithms for inducing high-level knowledge from available domain data, succeeding to obtain generalized solutions for a short-stage multi-channel queuing model. The domain of application, refers to the transportation problem of transit storage and re-load in seaports.…
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Combined Use Of Genetic Programming And Decomposition Techniques For The Induction Of Generalized Approximate Throughput Formulas In Short Exponential Production Lines With Buffers
- …An attempt is made to combine standard decomposition techniques and genetic programming approaches, for the induction of generalized approximate throughput formulas in short exponential serial production lines with finite intermediate buffers. The domain of serial production lines lacks the existenc…
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