Introduction to Evolutionary Algorithms

• Main Authors: Yu, Xinjie (Author), Gen, Mitsuo (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: London : Springer London, 2010.
• Series: Decision Engineering,
• Subjects: Computer science.; Data structures (Computer science).; Artificial intelligence.; Computer simulation.; Complexity, Computational.; Control engineering.; Robotics.; Mechatronics.; Computer Science.; Artificial Intelligence (incl. Robotics).; Data Structures.; Complexity.; Control, Robotics, Mechatronics.; Simulation and Modeling.

Evolutionary algorithms are becoming increasingly attractive across various disciplines, such as operations research, computer science, industrial engineering, electrical engineering, social science and economics. Introduction to Evolutionary Algorithms presents an insightful, comprehensive, and up-...

Table of Contents:

• Evolutionary Algorithms
• Simple Evolutionary Algorithms
• Advanced Evolutionary Algorithms
• Dealing with Complicated Problems
• Constrained Optimization
• Multimodal Optimization
• Multiobjective Optimization
• Combinatorial Optimization
• Brief Introduction to Other Evolutionary Algorithms
• Swarm Intelligence
• Artificial Immune Systems
• Genetic Programming.