• Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Biologically-Inspired Optimisation Methods: Parallel Algorithms, Systems and Applications

Biologically-Inspired Optimisation Methods: Parallel Algorithms, Systems and Applications

Paperback

Series: Studies in Computational Intelligence, Book 210

Technology & EngineeringGeneral ComputersGeneral Mathematics

ISBN10: 3642101771
ISBN13: 9783642101779
Publisher: Springer Nature
Published: Oct 28 2010
Pages: 360
Weight: 1.15
Height: 0.77 Width: 6.14 Depth: 9.21
Language: English
Evolution's Niche in Multi-Criterion Problem Solving.- Applications of Parallel Platforms and Models in Evolutionary Multi-Objective Optimization.- Asynchronous Multi-Objective Optimisation in Unreliable Distributed Environments.- Dynamic Problems and Nature Inspired Meta-heuristics.- Relaxation Labelling Using Distributed Neural Networks.- Extremal Optimisation for Assignment Type Problems.- Niching for Ant Colony Optimisation.- Using Ant Colony Optimisation to Construct Meander-Line RFID Antennas.- The Radio Network Design Optimization Problem.- Strategies for Decentralised Balancing Power.- An Analysis of Dynamic Mutation Operators for Conformational Sampling.- Evolving Computer Chinese Chess Using Guided Learning.

1 different editions

Also available

Also in

General Mathematics