Success in Evolutionary Computation

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Yang, Ang (Επιμελητής έκδοσης), Shan, Yin (Επιμελητής έκδοσης), Bui, Lam Thu (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Σειρά: Studies in Computational Intelligence, 92
• Θέματα: Engineering.; Artificial intelligence.; Applied mathematics.; Engineering mathematics.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).

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...

Πίνακας περιεχομένων:

• 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.