Biologically-Inspired Optimisation Methods - Studies in Computational Intelligence
Latest Publications

TOTAL DOCUMENTS

(FIVE YEARS 0)

H-INDEX

(FIVE YEARS 0)

Published By Springer Berlin Heidelberg

9783642012617, 9783642012624

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Applications of Parallel Platforms and Models in Evolutionary Multi-Objective Optimization

Biologically-Inspired Optimisation Methods - Studies in Computational Intelligence ◽

10.1007/978-3-642-01262-4_2 ◽

2009 ◽

pp. 23-49 ◽

Cited By ~ 7

Author(s):

Antonio López Jaimes ◽

Carlos A. Coello Coello

Keyword(s):

Multi Objective Optimization ◽

Multi Objective

Download Full-text

Evolving Computer Chinese Chess Using Guided Learning

Biologically-Inspired Optimisation Methods - Studies in Computational Intelligence ◽

10.1007/978-3-642-01262-4_12 ◽

2009 ◽

pp. 325-354

Author(s):

H. Y. Quek ◽

H. H. Chan ◽

K. C. Tan ◽

A. Tay

Keyword(s):

Guided Learning

Download Full-text

Using Ant Colony Optimisation to Construct Meander-Line RFID Antennas

Biologically-Inspired Optimisation Methods - Studies in Computational Intelligence ◽

10.1007/978-3-642-01262-4_8 ◽

2009 ◽

pp. 189-217 ◽

Cited By ~ 11

Author(s):

Andrew Lewis ◽

Marcus Randall ◽

Amir Galehdar ◽

David Thiel ◽

Gerhard Weis

Keyword(s):

Ant Colony ◽

Ant Colony Optimisation ◽

Rfid Antennas ◽

Meander Line

Download Full-text

An Analysis of Dynamic Mutation Operators for Conformational Sampling

Biologically-Inspired Optimisation Methods - Studies in Computational Intelligence ◽

10.1007/978-3-642-01262-4_11 ◽

2009 ◽

pp. 291-323 ◽

Cited By ~ 2

Author(s):

Alexandru-Adrian Tantar ◽

Nouredine Melab ◽

El-Ghazali Talbi

Keyword(s):

Conformational Sampling ◽

Dynamic Mutation ◽

Mutation Operators

Download Full-text

Strategies for Decentralised Balancing Power

Biologically-Inspired Optimisation Methods - Studies in Computational Intelligence ◽

10.1007/978-3-642-01262-4_10 ◽

2009 ◽

pp. 261-289 ◽

Cited By ~ 13

Author(s):

Andreas Kamper ◽

Anke Eßer

Download Full-text

Dynamic Problems and Nature Inspired Meta-heuristics

Biologically-Inspired Optimisation Methods - Studies in Computational Intelligence ◽

10.1007/978-3-642-01262-4_4 ◽

2009 ◽

pp. 79-109 ◽

Cited By ~ 1

Author(s):

Tim Hendtlass ◽

Irene Moser ◽

Marcus Randall

Keyword(s):

Dynamic Problems

Download Full-text

Niching for Ant Colony Optimisation

Biologically-Inspired Optimisation Methods - Studies in Computational Intelligence ◽

10.1007/978-3-642-01262-4_7 ◽

2009 ◽

pp. 165-188 ◽

Cited By ~ 7

Author(s):

Daniel Angus

Keyword(s):

Ant Colony ◽

Ant Colony Optimisation

Download Full-text

Extremal Optimisation for Assignment Type Problems

Biologically-Inspired Optimisation Methods - Studies in Computational Intelligence ◽

10.1007/978-3-642-01262-4_6 ◽

2009 ◽

pp. 139-164 ◽

Cited By ~ 7

Author(s):

Marcus Randall ◽

Tim Hendtlass ◽

Andrew Lewis

Download Full-text

Asynchronous Multi-Objective Optimisation in Unreliable Distributed Environments

Biologically-Inspired Optimisation Methods - Studies in Computational Intelligence ◽

10.1007/978-3-642-01262-4_3 ◽

2009 ◽

pp. 51-78 ◽

Cited By ~ 18

Author(s):

Andrew Lewis ◽

Sanaz Mostaghim ◽

Ian Scriven

Keyword(s):

Distributed Environments ◽

Multi Objective

Download Full-text

Relaxation Labelling Using Distributed Neural Networks

Biologically-Inspired Optimisation Methods - Studies in Computational Intelligence ◽

10.1007/978-3-642-01262-4_5 ◽

2009 ◽

pp. 111-138

Author(s):

Jim Austin

Keyword(s):

Neural Networks

Download Full-text

Biologically-Inspired Optimisation Methods - Studies in Computational IntelligenceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Applications of Parallel Platforms and Models in Evolutionary Multi-Objective Optimization

Evolving Computer Chinese Chess Using Guided Learning

Using Ant Colony Optimisation to Construct Meander-Line RFID Antennas

An Analysis of Dynamic Mutation Operators for Conformational Sampling

Strategies for Decentralised Balancing Power

Dynamic Problems and Nature Inspired Meta-heuristics

Niching for Ant Colony Optimisation

Extremal Optimisation for Assignment Type Problems

Asynchronous Multi-Objective Optimisation in Unreliable Distributed Environments

Relaxation Labelling Using Distributed Neural Networks

Biologically-Inspired Optimisation Methods - Studies in Computational Intelligence
Latest Publications