Information Processing with Evolutionary Algorithms

From Industrial Applications to Academic Speculations

By: Manuel Grana (Editor), Richard J. Duro (Editor), Alicia d'Anjou (Editor)

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Hardcover | 5 January 2005

At a Glance

Hardcover
352 Pages

Dimensions(cm)
23.5 x 15.88 x 1.91

Hardcover

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The last decade of the twentieth century has witnessed a surge of interest in numerical, computational intensive approaches to information processing. The lines that draw the boundaries between statistics, optimization, artificial intelligence and information processing are disappearing and it is not uncommon to find well founded and sophisticated mathematical approaches in applications traditionally associated with ad-hoc programming. Evolutionary Algorithms are increasingly being applied to information processing applications that require any kind of optimization and they have reached the status of problem-solving tools in the backpack of the engineer. However, there are still exciting new developments taking place in the academic community. The driving idea in the organization of this edited volume is the emphasis in the contrast between already accepted engineering practice and on-going explorations in the academic community. As From industrial applications to academic speculations suggests, the organization of Information Processing with Evolutionary Algorithms follows an axis of nearness to practical applications, travelling from industrial day-to-day problems and practice to the more speculative works.

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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Programming & Software Development Algorithms & Data Structures Computer Science Artificial Intelligence Neural Networks & Fuzzy Systems Expert Systems & Knowledge-Based Systems Databases Information Retrieval Graphical & Digital Media Applications Engineering & Technology

Electronics & Communications Engineering Electronics Engineering Automatic Control Engineering Robotics Audio Processing Natural Language & Machine Translation

Adaptive Business Intelligence Based on Evolution Strategies: Some Application Examples of Self-Adaptive
Software Extending the Boundaries of Design Optimization by Integrating
Fast Optimization Techniques with Machine-Code-Based, Linear Genetic Programming
Evolutionary Optimization of Approximating Triangulations for Surface Reconstruction from Unstructured 3D Data
An Evolutionary Algorithm based on Morphological Associative Memories for Endmember Selection in Hyperspectral
Images On a Gradient Based Evolution Strategy for Parametric Illumination Correction
A New Chromosome Codification for Scheduling Problems Evolution-based Learning of Ontological Knowledge for a Large-scale
Multi-agent Simulation An Evolutionary Algorithms Approach to Phlogenetic
Tree Construction Robot Controller Evolution with Macroevolutionary Algorithms
Evolving Natural Language Grammars Evaluating Protein Structure
Prediction Models with Evolutionary Algorithms Learning Decision Rules by Means of Hybrid-Encoded
Evolutionary Algorithms Evolvable Hardware Techniques for Gate-Level Synthesis of Combinational Circuits
The Evolutionary Learning Rule in a System Identification Current and Future Research Trends in Evolutionary
Multiobjective Optimization Genetic Algorithms with Limited Convergence Evolution with Sampled Fitness Functions Molecular Computing by Signaling Pathways
Strategy Oriented Evolutionary Games: Towards a Grammatical Model of Games Discrete Multi-Phase Particle Swarm Optimization
Table of Contents provided by Publisher. All Rights Reserved.

Information Processing with Evolutionary Algorithms

From Industrial Applications to Academic Speculations

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

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