Nature-Inspired Algorithms for Optimisation 2009

Raymond Chiong (Ed.): Nature-Inspired Algorithms for Optimisation. Studies in Computational Intelligence Vol. 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

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

Carmelo J. A. Bastos Filho, Fernando Buarque de Lima Neto, Anthony J. C. C. 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

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

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