Resultats de la cerca - (evolutionary OR evolution) optimization algorithm
Matèries dins de la cerca
Matèries dins de la cerca
- n/a 69
- thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology 54
- optimization 49
- machine learning 42
- thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues 42
- deep learning 34
- genetic algorithm 30
- thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general 30
- evolutionary algorithms 27
- artificial intelligence 26
- thema EDItEUR::U Computing and Information Technology::UY Computer science 25
- thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries 24
- simulation 23
- multi-objective optimization 22
- thema EDItEUR::P Mathematics and Science 22
- TA1-2040 21
- differential evolution 21
- neural networks 21
- classification 20
- T1-995 19
- feature selection 19
- artificial neural network 16
- convolutional neural network 16
- additive manufacturing 15
- evolutionary computation 15
- evolutionary algorithm 14
- numerical simulation 14
- particle swarm optimization 14
- mechanical properties 13
- transfer learning 13
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Methods in Computational Biology
Publicat 2021Matèries: “…evolutionary algorithm…”
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Multi-Objective and Multi-Attribute Optimisation for Sustainable Development Decision Aiding
Publicat 2021Matèries: “…multi-objective evolutionary algorithms…”
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Numerical and Evolutionary Optimization
Publicat 2021Matèries: “…improvement differential evolution algorithm…”
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Optimization Methods Applied to Power Systems: Volume 1
Publicat 2021Matèries: “…multi-objective particle swarm optimization algorithm…”
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Optimization Methods Applied to Power Systems: Volume 2
Publicat 2021Matèries: “…multi-objective particle swarm optimization algorithm…”
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Sustainability of Fossil Fuels
Publicat 2021Matèries: “…gas lift optimization…”
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Particle Swarm Optimization
Publicat 2021“…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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Evolutionary Computation
Publicat 2021“…This book presents several recent advances on Evolutionary Computation, specially evolution-based optimization methods and hybrid algorithms for several applications, from optimization and learning to pattern recognition and bioinformatics. …”
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New Achievements in Evolutionary Computation
Publicat 2021“…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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Traveling Salesman Problem
Publicat 2021“…This book is a collection of current research in the application of evolutionary algorithms and other optimal algorithms to solving the TSP problem. …”
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Real-World Applications of Genetic Algorithms
Publicat 2021“…The book addresses some of the most recent issues, with the theoretical and methodological aspects, of evolutionary multi-objective optimization problems and the various design challenges using different hybrid intelligent approaches. …”
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Genetic Algorithms in Applications
Publicat 2021“…Genetic Algorithms (GAs) are one of several techniques in the family of Evolutionary Algorithms - algorithms that search for solutions to optimization problems by "evolving" better and better solutions. …”
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Recent Advances on Meta-Heuristics and Their Application to Real Scenarios
Publicat 2021“…Emphasis is placed on evolutionary algorithms and swarm intelligence as computational means to efficiently balance the tradeoff between optimality of the produced solutions and the complexity derived from their estimation. …”
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Nature-inspired Methods for Stochastic, Robust and Dynamic Optimization
Publicat 2021“…This book gravitates on the development of nature-inspired methods and their application to stochastic, dynamic and robust optimization. Topics covered by this book include the design and development of evolutionary algorithms, bio-inspired metaheuristics, or memetic methods, with empirical, innovative findings when used in different subfields of mathematical optimization, such as stochastic, dynamic, multimodal and robust optimization, as well as noisy optimization and dynamic and constraint satisfaction problems.…”
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Artificial Neural Networks and Evolutionary Computation in Remote Sensing
Publicat 2021“…For this purpose, evolutionary algorithms become the best solution for analysis. …”
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Symmetry in Renewable Energy and Power Systems
Publicat 2021Matèries: “…evolutionary algorithms…”
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Machining Dynamics and Parameters Process Optimization
Publicat 2021Matèries: “…evolution algorithms…”
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Special Issue of the Manufacturing Engineering Society (MES)
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Special Issue of the Manufacturing Engineering Society (MES)
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AI AND THE SINGULARITY
Publicat 2021Matèries: “…machine evolution and optimization…”
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