Genetic Algorithms
PulseAugur coverage of Genetic Algorithms — every cluster mentioning Genetic Algorithms across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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Deep learning aids design of compact, wideband power amplifiers
Researchers have developed a novel deep learning approach to design compact and wideband inverted Doherty power amplifiers. By combining convolutional neural networks (CNNs) and genetic algorithms (GAs), the method gene…
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LLMs and Genetic Algorithms Simulate Language Evolution on Regulated Social Media
Researchers have developed a novel framework using Large Language Models (LLMs) and Genetic Algorithms (GAs) to simulate how language evolves on social media platforms under strict content moderation. This system featur…
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AI automates microwave filter design, revealing novel electric field patterns
Researchers have developed a novel deep learning method to automate the design of pixelated microwave filters, overcoming the limitations of traditional iterative tuning processes. This approach, which combines convolut…
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Deep learning advances Doherty power amplifier design with novel synthesis method
Researchers have developed a novel method for designing Doherty power amplifiers using deep learning, specifically deep convolutional neural networks (CNNs) combined with genetic algorithms (GA) and dual-state impedance…
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HEART framework tackles multi-model training for vehicle AI
Researchers have developed a new framework called HEART to address the challenges of multi-model training in Hierarchical Federated Learning (HFL) for vehicle-edge-cloud architectures. This framework aims to minimize gl…
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Agent harnesses echo genetic algorithms in LLM evolution
The concept of agent harnesses and harness engineering is drawing parallels to older genetic algorithms. This approach involves defining fitness functions, such as test suites or code quality analyses, and then allowing…
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Quantum-inspired optimization tackles non-convex machine learning problems
Researchers have introduced a new framework called Quantum-Inspired Evolutionary Optimization (QIEO) to tackle complex non-convex optimization problems in machine learning. This approach uses a probabilistic representat…