Advances in Bio-inspired Computing for Combinatorial Optimization Problems

• Main Author: Pintea, Camelia-Mihaela (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
• Series: Intelligent Systems Reference Library, 57
• Subjects: Engineering.; Operations research.; Decision making.; Artificial intelligence.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).; Operation Research/Decision Theory.

"Advances in Bio-inspired Combinatorial Optimization Problems" illustrates several recent bio-inspired efficient algorithms for solving NP-hard problems. Theoretical bio-inspired concepts and models, in particular for agents, ants and virtual robots are described. Large-scale optimization...

Table of Contents:

• Part I Biological Computing and Optimization
• Part II Ant Algorithms
• Part III Bio-inspired Multi-Agent Systems
• Part IV Applications with Bio-inspired Algorithms
• Part V Conclusions and Remarks.