Search Results - "Cartesian Genetic Programming"

Automatic residue-to-binary converter circuit generation and simplification using hybrid cartesian genetic programming and simulated annealing by Dadashzadeh, Amir, Hosseizadeh, Mehdi, Molahosseini, Amir Sabbagh, Sahafi, Amir

“…Residue Number Systems (RNS) provide notable advantages in digital signal processing and error detection due to their inherent parallelism and fault tolerance…”
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Continuous Cartesian Genetic Programming based representation for multi-objective neural architecture search by Garcia-Garcia, Cosijopii, Morales-Reyes, Alicia, Escalante, Hugo Jair

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Evolutionary Approach to Approximate Digital Circuits Design by Vasicek, Zdenek, Sekanina, Lukas

“…In approximate computing, the requirement of perfect functional behavior can be relaxed because some applications are inherently error resilient. Approximate…”
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Cartesian genetic programming: its status and future by Miller, Julian Francis

“…Cartesian genetic programming, a well-established method of genetic programming, is approximately 20 years old. It represents solutions to computational…”
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Efficient Cartesian Genetic Programming-Based Automatic Synthesis Framework for Reversible Quantum-Flux-Parametron Logic Circuits by Fu, Rongliang, Wille, Robert, Yoshikawa, Nobuyuki, Ho, Tsung-Yi

“…Reversible computing has garnered significant attention as a promising avenue for achieving energy-efficient computing systems, particularly within the realm…”
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Evolving multi-dimensional wavelet neural networks for classification using Cartesian Genetic Programming by Khan, Maryam Mahsal, Mendes, Alexandre, Zhang, Ping, Chalup, Stephan K.

“…•A new approach to evolution of multidimensional wavelet neural networks is presented.•Evolution of the wavelet rotation parameter in WNN is investigated for…”
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The Automatic Acquisition, Evolution and Reuse of Modules in Cartesian Genetic Programming by Walker, J.A., Miller, J.F.

“…This paper presents a generalization of the graph- based genetic programming (GP) technique known as Cartesian genetic programming (CGP). We have extended CGP…”
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A Data-Distribution and Successive Spline Points based discretization approach for evolving gene regulatory networks from scRNA-Seq time-series data using Cartesian Genetic Programming by da Silva, José Eduardo H., de Carvalho, Patrick C., Camata, José J., de Oliveira, Itamar L., Bernardino, Heder S.

“…The inference of gene regulatory networks (GRNs) is a widely addressed problem in Systems Biology. GRNs can be modeled as Boolean networks, which is the…”
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Multi-objective Cartesian Genetic Programming optimization of morphological filters in navigation systems for Visually Impaired People by Dourado, Antonio Miguel Batista, Pedrino, Emerson Carlos

“…Navigation systems for Visually Impaired People (VIP) have improved in the last decade, incorporating many features to ensure navigation safety. Such systems…”
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Cartesian Genetic Programming Parameterization in the Context of Audio Synthesis by Ly, Edward, Villegas, Julian

“…This letter presents an evaluation of the effects of elitism, recurrence probability, and prior knowledge on the fitness achieved by Cartesian Genetic…”
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Analysis of Cartesian Genetic Programming's Evolutionary Mechanisms by Goldman, Brian W., Punch, William F.

“…Understanding how search operators interact with solution representation is a critical step to improving search. In Cartesian genetic programming (CGP), and…”
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CGenProg: Adaptation of cartesian genetic programming with migration and opposite guesses for automatic repair of software regression faults by Khalilian, Alireza, Baraani-Dastjerdi, Ahmad, Zamani, Bahman

“…•We propose CGenProg for automatic repair of software regression faults in Java programs.•We adapted and modified cartesian genetic programming as the core…”
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CGP-based Logic Flow: Optimizing Accuracy and Size of Approximate Circuits by Berndt, Augusto André Souza, Abreu, Brunno, Campos, Isac S., Lima, Bryan, Grellert, Mateus, Carvalho, Jonata T., Meinhardt, Cristina

“…Logic synthesis tools face tough challenges when providing algorithms for synthesizing circuits with increased inputs and complexity. Machine learning…”
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An adaptive mutation for cartesian genetic programming using an ϵ-greedy strategy by Möller, Frederico José Dias, Bernardino, Heder Soares, Soares, Stênio Sã Rosário Furtado, de Souza, Lucas Augusto Müller

“…The optimization of the number of transistors of combinational logic circuits can lead to faster and cheaper electronic devices, but it is an NP-complete…”
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IMPROBED: Multiple Problem-Solving Brain via Evolved Developmental Programs by Miller, Julian Francis

“…Artificial neural networks (ANNs) were originally inspired by the brain; however, very few models use evolution and development, both of which are fundamental…”
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Approximate Multipliers Using Bio-Inspired Algorithm by Senthilkumar, K. K., Kumarasamy, Kunaraj, Dhandapani, Vaithiyanathan

“…As most of the real-world problems are imprecise, dedicating a lot of hardware for precise computations is futile for low-power applications and few…”
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Using Cartesian Genetic Programming Approach with New Crossover Technique to Design Convolutional Neural Networks by Torabi, Ali, Sharifi, Arash, Teshnehlab, Mohammad

“…In image classification problems, Convolutional Neural Networks (CNNs) are deep neural networks that include a variety of different layers aimed at classifying…”
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Graph representations in genetic programming by Françoso Dal Piccol Sotto, Léo, Kaufmann, Paul, Atkinson, Timothy, Kalkreuth, Roman, Porto Basgalupp, Márcio

“…Graph representations promise several desirable properties for genetic programming (GP); multiple-output programs, natural representations of code reuse and,…”
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Hybridizing Cartesian Genetic Programming and Harmony Search for adaptive feature construction in supervised learning problems by Elola, Andoni, Del Ser, Javier, Bilbao, Miren Nekane, Perfecto, Cristina, Alexandre, Enrique, Salcedo-Sanz, Sancho

“…•We present a new iterative feature construction approach for supervised learning model based on the meta-heuristic Harmony Search (HS) algorithm and Cartesian…”
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EvoDevo: Bioinspired Generative Design via Evolutionary Graph-Based Development by Tahernezhad-Javazm, Farajollah, Colligan, Andrew, Friel, Imelda, Hickinbotham, Simon J., Goodall, Paul, Buchanan, Edgar, Price, Mark, Robinson, Trevor, Tyrrell, Andy M.

“…Automated generative design is increasingly used across engineering disciplines to accelerate innovation and reduce costs. Generative design offers the…”
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