Category Archives: paper
[paper] Guassian Probability Distributed Function Properties
[paper] SymbioticSphere has been cited !!
[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
Optimization, 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)
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)
Exploring the Evolutionary Details of a Feasible-Infeasible Two-Population GA (2005)