Genetic algorithms.
概要
| 作品: | 119 作品在 16 項出版品 16 種語言 | |
|---|---|---|
書目資訊
Learning algorithms : = theory and applications in signal processing, control, and communications /
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Trading on the edge : = neural, genetic, and fuzzy systems for chaotic financial markets /
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Fusion of neural networks, fuzzy sets, and genetic algorithms : = industrial applications /
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Adaptive learning by genetic algorithms : = analytical results and applications to economic models /
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Creating and optimizing microstrip antennas using the genetic algorithm and the finite difference time domain method /
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Extending the scalability of linkage learning genetic algorithms : = theory & practice /
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Evolutionary multiobjective optimization : = theoretical advances and applications /
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Scalable optimization via probabilistic modeling : = from algorithms to applications /
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Hierarchical Bayesian Optimization Algorithm = Toward a New Generation of Evolutionary Algorithms /
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Foundations of Generic Optimization. Volume 1,. A Combinatorial Approach to Epistasis /
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Evolutionary Multiobjective Optimization = Theoretical Advances and Applications /
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Information Processing with Evolutionary Algorithms = From Industrial Applications to Academic Speculations /
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Foundations of Generic Optimization. 2. Applications of Fuzzy Control, Genetic Algorithms and Neural Networks /
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Evolutionary Intelligence = An Introduction to Theory and Applications with Matlab /
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Understanding human history : = an analysis including the effects of geography and differential evolution /
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Intelligent control = a hybrid approach based on fuzzy logic, neural networks and genetic algorithms /
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Identifying patterns in financial markets = new approach combining rules between PIPs and SAX /
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Stock exchange trading using grid pattern optimized by a genetic algorithm with speciation = the case of S&P 500 /
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Secure VLSI Hardware Design against Intellectual Property (IP) Theft and Cryptographic Vulnerabilities.
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Studies on the Use of Machine Learning Algorithms for Analysis and Design of Materials at Multiple Length Scales.
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OmeGA : = a competent genetic algorithm for solving permutation and scheduling problems /
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DNA computing based genetic algorithm = applications industrial process modeling and control /
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Squeak and Rattle Prediction for Robust Product Development in the Automotive Industry.
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Prediction of Tensile Behaviors of L-Ded 316 Stainless Steel Parts Using Machine Learning.
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Many-Objective Evolutionary Algorithms: Objective Reduction, Decomposition and Multi-Modality.
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Simulation and Optimization of Scheduling Policies in Dynamic Stochastic Resource-Constrained Multi-Project Environments.
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Synthesizing Realistic Substitute Data for a Law Enforcement Database Using a Python Library.
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An Integrated Low-Cost Agent-Based Environment for Simulating and Validating the Design of Interesting Behaviours for Robots.
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Propeller Design and Optimization Using a Robust Genetic Algorithm and a Computationally Efficient Solver.
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An Exploration of Heuristics Applied to Genetic Algorithms on the Capacitated Pickup and Delivery Problem with Time Windows.
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'Memes' and Memetics in Industrial Product Design = = Radyal kanalli dairesel kompozit plakalarin titresim analizi.
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Seismic Risk Management of Complex Road Networks : = Optimization Methods and Integration of Community Impact Metrics.
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