Hiển thị các bài đăng có nhãn carlos. Hiển thị tất cả bài đăng
Hiển thị các bài đăng có nhãn carlos. Hiển thị tất cả bài đăng

Thứ Tư, 26 tháng 8, 2015

Gravitational Wave Astrophysics

Gravitational Wave Astrophysics



This bookoffers review chapters written by invited speakers of the 3rd Session of the Sant Cugat Forum on Astrophysics – Gravitational Waves Astrophysics. All chapters have been peer reviewed. The book goes beyond normal conference proceedings in that itprovides a wide panorama of the astrophysics of gravitational waves and serves as a reference work for researchers in the field.


Carlos F. Sopuerta is working at the Institute of Space Sciences (CSIC-IEEC)Barcelonaas a Ramn y Cajal Researcher. His main research interest lies in the new area of Gravitational Wave Astronomy.,




Thứ Tư, 11 tháng 2, 2015

Nature-Inspired Algorithms for Optimisation

Nature-Inspired Algorithms for Optimisation



Sect. I. Introduction — Why Is Optimization Difficult? / Thomas Weise, Michael Zapf, Raymond Chiong, Antonio J. Nebro — The Rationale behind Seeking Inspiration from Nature / Kent C.B. Steer, Andrew Wirth, Saman K. Halgamuge — Sect. II. Evolutionary Intelligence — The Evolutionary-Gradient-Search Procedure in Theory and Practice / Ralf Salomon, Dirk V. Arnold — The Evolutionary Transition Algorithm: Evolving Complex Solutions out of Simpler Ones / Tom Lenaerts, Anne Defaweux, Jano van Hemert — A Model-Assisted Memetic Algorithm for Expensive Optimization Problems / Yoel Tenne — A Self-Adaptive Mixed Distribution Based Uni-variate Estimation of Distribution Algorithm for Large Scale Global Optimization / Yu Wang, Bin Li — Differential Evolution with Fitness Diversity Self-Adaptation / Ville Tirronen, Ferrante Neri — Central Pattern Generators: Optimisation and Application / Leena N. Patel — Sect. III. Collective Intelligence — Fish School Search / Carmelo J.A. Bastos Filho … [et al.] — Magnifier Particle Swarm Optimization / Ying Tan, Junqi Zhang — Improved Particle Swarm Optimization in Constrained Numerical Search Spaces / Efren Mezura-Montes, Jorge Isacc Flore-Mendoza — Applying River Formation Dynamics to Solve NP-Complete Problems / Pablo Rabanal, Ismael Rodriguez, Fernando Rubio — Sect. IV. Social-Natural Intelligence — Algorithms Inspired in Social Phenomena / Antonio Neme, Sergio Hernandez — Artificial Immune Systems for Optimization / Heder S. Bernardino, Helio J.C. Barbosa — Sect. V. Multi-Objective Optimisation — Ranking Methods in Many-objective Evolutionary Algorithms / Antonio Lopez Jaimes, Luis Vicente Santana Quintero, Carlos A. Coello Coello — On the Effect of Applying a Steady-State Selection Scheme in the Multi-Objective Genetic Algorithm NSGA-II / Antonio J. Nebro, Juan J. Durillo — Improving the Performance of Multiobjective Evolutionary Optimization Algorithms using Coevolutionary Learning /Tse Guan Tan, Jason Teo — Evolutionary Optimization for Multiobjective Portfolio Selection Under Markowitzs Model with Application to the Caracas Stock Exchange / Feijoo Colomine Duran, Carlos Cotta, Antonio J. Fernandez.




Thứ Sáu, 16 tháng 1, 2015

The Teachings of Don Juan

The Teachings of Don Juan



Thirty years ago the University of California Press published an unusual manuscript by an anthropology student named Carlos Castaneda. The Teachings of Don Juan initiated a generation of seekers dissatisfied with the limitations of the Western worldview. Castaneda’s now classic book remains controversial for the alternative way of seeing that it presents and the revolution in cognition it demands.