Nature-Inspired Algorithms for Optimisation 2009
Raymond Chiong (Ed.): Nature-Inspired Algorithms for Optimisation. Springer 2009 Studies in Computational Intelligence ISBN 978-3-642-00266-3
Introduction
- 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
- 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 J. da C. C. Lins, Antônio I. S. Nascimento, Marília P. Lima: Fish School Search. 261-277
- 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
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
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last updated on 2013-06-17T203624 by the dblp team