Arama Sonuçları - algorithmic evolution

Entropy in Image Analysis Yazar: Sparavigna, Amelia Carolina

Konular: “…whale optimization algorithm…”
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Entropy Measures for Data Analysis: Theory, Algorithms and Applications Yazar: Keller, Karsten

Konular: “…co-evolution…”
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Evolutionary Computation Yazar: Alavi, Amir, Wang, Gai-Ge

Konular: “…whale optimization algorithm…”
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Graph-Theoretic Problems and Their New Applications Yazar: Werner, Frank

Konular: “…evolution theory…”
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Intelligent Control in Energy Systems Yazar: Dounis, Anastasios

Konular: “…differential evolution…”
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Intelligent Optimization Modelling in Energy Forecasting Yazar: Hong, Wei-Chiang

Konular: “…state transition algorithm…”
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Management and evolution of the European Union member states in the Big Data era. The impact of Big Data on the organization of the European market Yazar: Constantin, Anghelache, Ghislaine, Pellat

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Methods and Concepts for Designing and Validating Smart Grid Systems Yazar: Burt, Graeme, Rohjans, Sebastian, Strasser, Thomas

Konular: “…interface algorithm (IA)…”
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Methods in Computational Biology Yazar: Carlson, Ross, Sauro, Herbert

Konular: “…evolutionary algorithm…”
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Numerical and Evolutionary Optimization Yazar: Lara, Adriana, Quiroz, Marcela, Schütze, Oliver, Mezura-Montes, Efrén

Konular: “…improvement differential evolution algorithm…”
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Ontology Alignment using Biologically-inspired Optimisation Algorithms Yazar: Bock, Jürgen

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The Origin and Evolution of the Genetic Code: 100th Anniversary Year of the Birth of Francis Crick Yazar: Koji Tamura (Ed.)

“…The genetic code is one of the greatest discoveries of the 20th century as it is central to life itself. It is the algorithm that connects 64 RNA triplets to 20 amino acids, thus functioning as the Rosetta Stone of molecular biology. …”
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Sustainability of Fossil Fuels Yazar: Strizhak, Pavel A.

Konular: “…structure evolution…”
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Systems Biology of Transcription Regulation Yazar: Joerg Linde, Edgar Wingender, Ekaterina Shelest

“…Traditionally and due to technical reasons (including the evolution of our understanding of the underlying processes) the main focus of the research was made on the regulation of expression through transcription factors (TFs), the proteins directly binding to DNA. …”
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Frontiers in Evolutionary Robotics

“…For instance, in a multi-robot system, several robots simultaneously work to achieve a common goal via interaction; their behaviors can only emerge as a result of evolution and interaction. How to learn such behaviors is a central issue of Distributed Artificial Intelligence (DAI), which has recently attracted much attention. …”
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Particle Swarm Optimization

“…However, unlike GA, PSO has no evolution operators such as crossover and mutation. …”
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Evolutionary Computation

“…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

“…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

“…It brings together researchers with applications in Artificial Immune Systems, Genetic Algorithms, Neural Networks and Differential Evolution Algorithm. …”
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Machining Dynamics and Parameters Process Optimization

Konular: “…evolution algorithms…”
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