Thursday, February 28, 2008

[paper] Adaptive Grid on MOGA

Dynamic multiobjective evolutionary algorithm: Adaptive cell-based rank and density estimation

[paper] SymbioticSphere has been cited !!

SymbioticSphere has been cited !!
Biology-inspired self-healing system design

Server Farm Case Study SymbioticSphere: A Biologically-Inspired Autonomic Architecture for Self-Adaptive and Self-Healing Server Farms

[paper] Multiobjective Optimization Tutorials

Multi-objective optimization using genetic algorithms: A tutorial

Recent Trends in Evolutionary Multiobjective Optimization

A Tutorial on Evolutionary Multiobjective Optimization

Evolutionary computation: A Natural Answer to Artificial Questions

What is an Evolutionary Algorithm? (Book Chapter)

Evolutionary Computation and Structural Design: a Survey of the State of the Art

130 Carlos A. Coello Coello. A Comprehensive Survey of
Evolutionary-Based Multiobjective Optimization Techniques, Knowledge and
Information Systems. An International Journal, 1(3):269-308, August 1999.

135 Carlos A. Coello Coello. An Updated Survey of GA-Based
Multiobjective Optimization Techniques
. ACM Computing Surveys,
32(2):109-143, June 2000.

39 Carlos A. Coello Coello. A Short Tutorial on Evolutionary
Multiobjective Optimization
. In Eckart Zitzler, Kalyanmoy Deb, Lothar
Thiele, Carlos A. Coello Coello, and David Corne, editors, First
International Conference on Evolutionary Multi-Criterion Optimization,
pages 21-40. Springer-Verlag. Lecture Notes in Computer Science No.
1993, 2001

============ MOO Trends ========
Carlos A. Coello Coello, 20 Years of Evolutionary Multi-Objective Optimization: What Has Been Done and What Remains to be Done, in Gary Y. Yen and David B. Fogel (editors), Computational Intelligence: Principles and Practice, Chapter 4, pp. 73--88, IEEE Computational Intelligence Society, 2006

An Introduction to Genetic Algorithms and Evolution Strategies

Simple Population Replacement Strategies for a Steady-State Multi-Objective Evolutionary Algorithm

43 Carlos A. Coello Coello. Recent Trends in Evolutionary Multiobjective
, in Ajith Abraham, Lakhmi Jain and Robert Goldberg
(editors), Evolutionary Multiobjective Optimization: Theoretical
Advances And Applications, pp. 7--32, Springer-Verlag, London, ISBN
1-85233-787-7, 2005 .

44 Carlos A. Coello Coello, Gregorio Toscano Pulido and Efrén Mezura
Montes. Current and Future Research Trends in Evolutionary
Multiobjective Optimization
, in Manuel Graña, Richard Duro, Alicia
d'Anjou and Paul P. Wang (editors), Information Processing with
Evolutionary Algorithms: From Industrial Applications to Academic
Speculations, pp. 213--231, Springer-Verlag, ISBN 1-8523-3866-0, 2005 .

[paper] Selection Method in EAs/GAs

A Comparison of Selection Schemes used in Genetic Algorithms

Genetic Algorithms, Selection Schemes, and the Varying Effects of Noise

Selective Pressure in Evolutionary Algorithms: A Characterization of Selection Mechanism

A Comparative Analysis of Selection Schemes Used in Genetic Algorithms

Effects of Selection Schemes in Genetic Programming for Time Series Prediction

[paper] handle constraints in EA

How to Handle Constraints with Evolutionary Algorithms (2001)

GA-easy and GA-hard Constraint Satisfaction Problems (1995)

Theoretical and Numerical Constraint-Handling Techniques used with Evolutionary Algorithms: A Survey of the State of the Art

Constraint-Handling in Genetic Algorithms Through the Use Of Dominance-based Tournament Selection (2002)

Constraint-Handling using an Evolutionary Multiobjective Optimization Technique (2000)

Multiobjective-Based Concepts to Handle Constraints in Evolutionary (2003)

IS-PAES: A Constraint-Handling Technique Based on Multiobjective Optimization Concept

A Filter-Based Evolutionary Algorithm for Constrained Optimization (2003)

Evolutionary Algorithms and Constraint Satisfaction: Definitions, Survey, Methodology, and Research Directions (2001)

Introducing Distance Tracing of Evolutionary Dynamics in a Feasible-Infeasible Two-Population (FI-2Pop) Genetic Algorithm for Constrained Optimization (2004)

Exploring the Evolutionary Details of a Feasible-Infeasible Two-Population GA (2005)

[paper] Self-Adaptation in Evolutionary Algorithms

Self Adaptation in Evolutionary Algorithms (conference paper)

Self Adaptation in Evolutionary Algorithms (Thesis)

Self-Adaptation for Multi-objective Evolutionary Algorithms

Parameter Control in Evolutionary Algorithms (2000)

Self-Adaptation and Correlated Mutations in Evolution Strategies

Sunday, February 24, 2008

[howto] share mouse and keyboard

Using 2 PCs with one set of keyboard and mouse.
Synergy makes this happens.

Download Synergy FREE

(or another program, Input Director)

Thursday, February 14, 2008

[freeware] WEKA: Data Mining Free Software

Weka is a collection of machine learning algorithms for data mining tasks.The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.

Project: Weka

Pareto !

Multi-objective optimization resources:
paper, journals, software... and much more