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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| 企業作者: | |
|---|---|
| 其他作者: | , , |
| 格式: | 電子 電子書 |
| 語言: | English |
| 出版: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2008.
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| 版: | 1st ed. 2008. |
| 叢編: | Studies in Computational Intelligence,
92 |
| 主題: | |
| 在線閱讀: | https://doi.org/10.1007/978-3-540-76286-7 |
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書本目錄:
- 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.



