Resultats de la cerca - (( algorithm evolution ) OR ( algorithms evolution ))

Entropy in Image Analysis per Sparavigna, Amelia Carolina

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

Matèries: “…co-evolution…”
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Evolutionary Computation per Alavi, Amir, Wang, Gai-Ge

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

Matèries: “…evolution theory…”
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Intelligent Control in Energy Systems per Dounis, Anastasios

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

Matèries: “…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 per Constantin, Anghelache, Ghislaine, Pellat

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

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

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

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

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The Origin and Evolution of the Genetic Code: 100th Anniversary Year of the Birth of Francis Crick per 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 per Strizhak, Pavel A.

Matèries: “…improved gravitational search algorithm…”
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Systems Biology of Transcription Regulation per 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

“…Many researchers have been studying the techniques for evolutionary robotics by using Evolutionary Computation (EC), such as Genetic Algorithms (GA) or Genetic Programming (GP). Their goal is to clarify the applicability of the evolutionary approach to the real-robot learning, especially, in view of the adaptive robot behavior as well as the robustness to noisy and dynamic environments. …”
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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

Matèries: “…evolution algorithms…”
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