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Success in Evolutionary Computation

Darwinian evolutionary theory is one of the most important theories in human history for it has equipped us with a valuable tool to understand the amazing world around us. There can be little surprise, therefore, that Evolutionary Computation (EC), inspired by natural evolution, has been so successf...

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Dettagli Bibliografici
Ente Autore: SpringerLink (Online service)
Altri autori: Yang, Ang. (Redattore, http://id.loc.gov/vocabulary/relators/edt), Shan, Yin. (Redattore, http://id.loc.gov/vocabulary/relators/edt), Bui, Lam Thu. (Redattore, http://id.loc.gov/vocabulary/relators/edt)
Natura: Elettronico eBook
Lingua:English
Pubblicazione: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edizione:1st ed. 2008.
Serie:Studies in Computational Intelligence, 92
Soggetti:
Applied mathematics.
Engineering mathematics.
Artificial intelligence.
Mathematical and Computational Engineering.
Artificial Intelligence.
Accesso online:https://doi.org/10.1007/978-3-540-76286-7
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Sommario:
  • Theory
  • Adaptation of a Success Story in GAs: Estimation-of-Distribution Algorithms for Tree-based Optimization Problems
  • The Automated Design of Artificial Neural Networks Using Evolutionary Computation
  • A Versatile Surrogate-Assisted Memetic Algorithm for Optimization of Computationally Expensive Functions and its Engineering Applications
  • Data Mining and Intelligent Multi-Agent Technologies in Medical Informatics
  • Applications
  • Evolving Trading Rules
  • A Hybrid Genetic Algorithm for the Protein Folding Problem Using the 2D-HP Lattice Model
  • Optimal Management of Agricultural Systems
  • Evolutionary Electronics: Automatic Synthesis of Analog Circuits by GAs
  • Intuitive Visualization and Interactive Analysis of Pareto Sets Applied on Production Engineering System
  • Privacy Protection with Genetic Algorithms
  • A Revision of Evolutionary Computation Techniques in Telecommunications and An Application for The Network Global Planning Problem
  • Survivable Network Design with an Evolution Strategy
  • Evolutionary Computations for Design Optimization and Test Automation in VLSI Circuits
  • Evolving Cooperative Agents in Economy Market Using Genetic Algorithms
  • Optimizing Multiplicative General Parameter Finite Impulse Response Filters Using Evolutionary Computation
  • Applying Genetic Algorithms to Optimize the Cost of Multiple Sourcing Supply Chain Systems – An Industry Case Study.

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