Model Selection for Support Vector Classifiers via Genetic Algorithms. An Application to Medical Decision Support 热度: An Introduction to Quantum Algorithms 热度: Seediscussions,stats,andauthorprofilesforthispub
Several approaches to the theory of genetic algorithms are discussed in depth in the fourth chapter. The fifth chapter takes up implementation, and the last chapter poses some currently unanswered questions and surveys prospects for the future of evolutionary computation....
文档分类:管理/人力资源|页数:约453页 文档列表文档介绍 S. N. Sivanandam, S. N. Deepa - Introduction To Genetic Algorithms 来自淘豆网www.taodocs.com转载请标明出处. 文档信息 页数:453 收藏数:0 顶次数:0 上传人:bolee65 文件大小:0 KB
Introduction to Evolutionary Algorithms presents an insightful, comprehensive, and up-to-date treatment of evolutionary algorithms. It covers such hot topics as: • genetic algorithms, • differential evolution, • swarm intelligence, and • artificial immune systems. The reader is introduced to ...
"Introduction to Evolutionary Algorithms" presents a comprehensive, up-to-date overview of evolutionary algorithms. Readers will find a discussion of hot topics in the field, including genetic algorithms, differential evolution, swarm intelligence, and artificial immune systems.doi:10.1002/9783527613168.ch1...
One chapter is dedicated to the popular genetic algorithms. This revised edition contains three entirely new chapters on critical topics regarding the pragmatic application of machine learning in industry. The chapters examine multi-label domains, unsupervised learning and its use in deep learning, and...
We can use this classification to better understand the bio-inspired methods we are willing to study and classify the heuristics over the axis. Figure I.5 presents the three orthogonal axes. Neural networks and machine learning techniques are classified on the epigenesis axis. Genetic algorithms ...
37阅读文档大小:190.3K19页yixingmaoh上传于2015-05-30格式:PDF An Introduction to Practical Neural Networks and Genetic Algorithms For Engineers and Scientists 热度: Quality Management for Organizational Excellence Introduction to Total Quality-[7]-[David L Goetsch, Stanley Davis] ...
Between 1990—when the first author of this book entered into the field which was known under the term “genetic algorithms” only—and today, the field has seen tremendous development and has earned enormous scientific recognition.This is a preview of subscription content, log in via an ...
An optimization perspective on global search methods is featured and includes discussions on genetic algorithms, particle swarm optimization, and the simulated annealing algorithm. In addition, the book includes an elementary introduction to artificial neural networks, convex optimization, and multi-objective...