Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDNature-Inspired Algorithms for Optimisation 2009
- Raymond Chiong:
Nature-Inspired Algorithms for Optimisation. Studies in Computational Intelligence 193, Springer 2009, ISBN 978-3-642-00266-3
Introduction
- Thomas Weise, Michael Zapf, Raymond Chiong
, Antonio J. Nebro:
Why Is Optimization Difficult?. 1-50 - Kent C. B. Steer, Andrew Wirth, Saman K. Halgamuge:
The Rationale Behind Seeking Inspiration from Nature. 51-76
Evolutionary Intelligence
- Ralf Salomon, Dirk V. Arnold:
The Evolutionary-Gradient-Search Procedure in Theory and Practice. 77-101 - Tom Lenaerts, Anne Defaweux, Jano I. van Hemert:
The Evolutionary Transition Algorithm: Evolving Complex Solutions Out of Simpler Ones. 103-131 - Yoel Tenne:
A Model-Assisted Memetic Algorithm for Expensive Optimization Problems. 133-169 - Yu Wang, Bin Li:
A Self-adaptive Mixed Distribution Based Uni-variate Estimation of Distribution Algorithm for Large Scale Global Optimization. 171-198 - Ville Tirronen, Ferrante Neri:
Differential Evolution with Fitness Diversity Self-adaptation. 199-234 - Leena N. Patel:
Central Pattern Generators: Optimisation and Application. 235-260
Collective Intelligence
- Carmelo J. A. Bastos Filho, Fernando Buarque de Lima Neto, Anthony José da Cunha Carneiro Lins, Antônio I. S. Nascimento, Marília P. Lima:
Fish School Search. 261-277 - Ying Tan, Junqi Zhang:
Magnifier Particle Swarm Optimization. 279-298 - Efrén Mezura-Montes, Jorge Isacc Flores-Mendoza:
Improved Particle Swarm Optimization in Constrained Numerical Search Spaces. 299-332 - Pablo Rabanal, Ismael Rodríguez, Fernando Rubio:
Applying River Formation Dynamics to Solve NP-Complete Problems. 333-368
Social-Natural Intelligence
- Antonio Neme, Sergio Hernández:
Algorithms Inspired in Social Phenomena. 369-387 - Heder S. Bernardino, Helio J. C. Barbosa:
Artificial Immune Systems for Optimization. 389-411
Multi-Objective Optimisation
- Antonio López Jaimes, Luis V. Santana-Quintero, Carlos A. Coello Coello:
Ranking Methods in Many-Objective Evolutionary Algorithms. 413-434 - Antonio J. Nebro, Juan José Durillo:
On the Effect of Applying a Steady-State Selection Scheme in the Multi-Objective Genetic Algorithm NSGA-II. 435-456 - Tse Guan Tan, Jason Teo:
Improving the Performance of Multiobjective Evolutionary Optimization Algorithms Using Coevolutionary Learning. 457-487 - Feijoo Colomine Duran, Carlos Cotta, Antonio J. Fernández:
Evolutionary Optimization for Multiobjective Portfolio Selection under Markowitz's Model with Application to the Caracas Stock Exchange. 489-509
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-04-22 20:00 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
