A comparative study of optimization models in genetic programming-based rule extraction problems
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DOI: 10.1007/s00500-017-2836-8
Abstract: In this manuscript, we identify and evaluate some of the most used optimization models for rule extraction using genetic programming-based algorithms. Six different models, which combine the most common fitness functions, were tested. These functions… read more here.
Keywords: optimization models; genetic programming; rule extraction; programming based ... See more keywords
Robust controller design for systems with probabilistic uncertain parameters using multi-objective genetic programming
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DOI: 10.1007/s00500-020-05133-x
Abstract: Optimal design of controllers without considering uncertainty in the plant dynamics can induce feedback instabilities and lead to obtaining infeasible controllers in practice. This paper presents a multi-objective evolutionary algorithm integrated with Monte Carlo simulations… read more here.
Keywords: methodology; genetic programming; multi objective; controller ... See more keywords
Classification of M-QAM and M-PSK signals using genetic programming (GP)
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DOI: 10.1007/s00521-018-3433-1
Abstract: With the popularity of software-defined radio and cognitive radio-technologies in wireless communication, radio frequency devices have to adapt to changing conditions and adjust its transmitting parameters such as transmitting power, operating frequency, and modulation schemes.… read more here.
Keywords: classification qam; qam psk; classification; genetic programming ... See more keywords
Genetic programming-assisted multi-scale optimization for multi-objective dynamic performance of laminated composites: the advantage of more elementary-level analyses
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DOI: 10.1007/s00521-019-04280-z
Abstract: High-fidelity multi-scale design optimization of many real-life applications in structural engineering still remains largely intractable due to the computationally intensive nature of numerical solvers like finite element method. Thus, in this paper, an alternate route… read more here.
Keywords: scale optimization; genetic programming; multi objective; optimization ... See more keywords
Multi-objective Lyapunov-based controller design for nonlinear systems via genetic programming
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DOI: 10.1007/s00521-021-06453-1
Abstract: In system control, stability is considered the most important factor as unstable system is impractical or dangerous to use. Lyapunov direct method, one of the most useful tools in the stability analysis of nonlinear systems,… read more here.
Keywords: lyapunov; genetic programming; control; multi objective ... See more keywords
The rise of the machines in commodities markets: new evidence obtained using Strongly Typed Genetic Programming
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DOI: 10.1007/s10479-016-2286-1
Abstract: Market regulators around the world are still debating whether or not high-frequency trading (HFT) is beneficial or harmful to market quality. We develop artificial commodities market populated with HFT scalpers and traditional commodities traders using… read more here.
Keywords: genetic programming; strongly typed; commodities markets; typed genetic ... See more keywords
Multiple genetic programming: a new approach to improve genetic-based month ahead rainfall forecasts
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DOI: 10.1007/s10661-019-7991-1
Abstract: It is well documented that standalone machine learning methods are not suitable for rainfall forecasting in long lead-time horizons. The task is more difficult in arid and semiarid regions. Addressing these issues, the present paper… read more here.
Keywords: genetic programming; multiple genetic; month ahead; model ... See more keywords
On the scalability of evolvable hardware architectures: comparison of systolic array and Cartesian genetic programming
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DOI: 10.1007/s10710-018-9340-5
Abstract: Evolvable hardware allows the generation of circuits that are adapted to specific problems by using an evolutionary algorithm (EA). Dynamic partial reconfiguration of FPGA LUTs allows making the processing elements (PEs) of these circuits small and compact,… read more here.
Keywords: genetic programming; cartesian genetic; evolvable hardware; array cartesian ... See more keywords
A multi-level grammar approach to grammar-guided genetic programming: the case of scheduling in heterogeneous networks
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DOI: 10.1007/s10710-019-09346-4
Abstract: The scale at which the human race consumes data has increased exponentially in recent years. One key part in this increase has been the usage of smart phones and connected devices by the populous. Multi-level… read more here.
Keywords: heterogeneous networks; genetic programming; multi level; grammar guided ... See more keywords
Learning feature spaces for regression with genetic programming
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DOI: 10.1007/s10710-020-09383-4
Abstract: Genetic programming has found recent success as a tool for learning sets of features for regression and classification. Multidimensional genetic programming is a useful variant of genetic programming for this task because it represents candidate… read more here.
Keywords: programming; feature spaces; genetic programming; regression ... See more keywords
Genetic Programming $$\varvec{+}$$+ Proof Search $$\varvec{=}$$= Automatic Improvement
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DOI: 10.1007/s10817-017-9409-5
Abstract: Search Based Software Engineering techniques are emerging as important tools for software maintenance. Foremost among these is Genetic Improvement, which has historically applied the stochastic techniques of Genetic Programming to optimize pre-existing program code. Previous… read more here.
Keywords: improvement; genetic programming; search; proof search ... See more keywords