Результати пошуку - evolution optimization techniques

Enzymes from Extreme Environments за авторством Noha M. Mesbah, Felipe Sarmiento

“...The development of advanced molecular biology tools has facilitated the quest for production of enzymes with optimized and extreme features. These tools include large-scale screening for potential genes using metagenomics, engineering of enzymes using computational techniques and site-directed mutagenesis and molecular evolution techniques. ...”
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Geometry of Submanifolds and Homogeneous Spaces за авторством Kaimakamis, George, Arvanitoyeorgos, Andreas

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Intelligent Optimization Modelling in Energy Forecasting за авторством Hong, Wei-Chiang

Предмети: “...Brain Storm Optimization...”
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Manufacturing and Surface Engineering за авторством Alicia Esther Ares (Ed.)

“...The topics of the book “Manufacturing and Surface Engineering” include the full range of surface engineering aspects, i.e., surface integrity, contact mechanics, friction and wear, coatings and surface treatments, multiscale tribology, computational methods, and optimization techniques applied in surface engineering. ...”
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Methods and Concepts for Designing and Validating Smart Grid Systems за авторством Burt, Graeme, Rohjans, Sebastian, Strasser, Thomas

Предмети: “...traffic reduction technique...”
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Numerical and Evolutionary Optimization за авторством Lara, Adriana, Quiroz, Marcela, Schütze, Oliver, Mezura-Montes, Efrén

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Embedded System Design за авторством Marwedel, Peter

“...Embedded systems have to operate under tight constraints and, hence, the book also contains a selected set of optimization techniques, including software optimization techniques. ...”
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Particle Swarm Optimization

“...Particle swarm optimization (PSO) is a population based stochastic optimization technique influenced by the social behavior of bird flocking or fish schooling.PSO shares many similarities with evolutionary computation techniques such as Genetic Algorithms (GA). ...”
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New Achievements in Evolutionary Computation

“...Even though it started as far back as the 1960s with simulated evolution, the subject is still evolving. During this time, new metaheuristic optimization approaches, like evolutionary algorithms, genetic algorithms, swarm intelligence, etc., were being developed and new fields of usage in artificial intelligence, machine learning, combinatorial and numerical optimization, etc., were being explored. ...”
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Meniscus of the Knee

“...The art of meniscal surgery involves many steps, with ever-evolving techniques and implants. This book has been prepared during a period of widespread debate on, and evolution in, the conservative, surgical, and biological techniques for managing meniscal lesions. ...”
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Machining Dynamics and Parameters Process Optimization

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Protective and Functional Coatings for Metallic and Ceramic Substrates

“...A dedicated space was intentionally devoted to the selection of papers detailing examples of the applicability of advanced characterization techniques. As an example of the wide field of research on innovative functional coatings, one study presents Mo alloys as an electrocatalytic material for the hydrogen evolution reaction. ...”
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Impacts of Landscape Change on Water Resources

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Evolutionary Algorithms in Intelligent Systems

Предмети: “...multi-objective optimization problems...”
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Chapter From Cellulose Dissolution and Regeneration to Added Value Applications — Synergism Between Molecular Understanding and Material Development за авторством Singh, Poonam, Duarte, Hugo, Alves, Luís, Antunes, Filipe, Le Moigne, Nicolas, Dormanns, Jan, Duchemin, Benoit, Staiger, Mark P., Medronho, Bruno

“...Despite the difference in plasma density and time evolutions calculated for both phenomena, after well-defined delays, similar critical nuclei have been shown to be formed by both techniques. ...”
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Towards Improved Forecasting of Volcanic Eruptions

“...We have better insights into volcanic systems thanks to steady improvements in research tools and data processing techniques. The integration of these data into physics-based models allows us for example to constrain magma migration at depth and to derive the pressure evolution inside volcanic conduits and reservoirs, which ultimately help monitor evolving volcanic hazard. ...”
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Numerical and Evolutionary Optimization 2020

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Planning and Scheduling Optimization

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Evolutionary Algorithms in Engineering Design Optimization

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Approximate Bayesian Inference

Предмети: “...differential evolution...”
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