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» Evolutionary algorithms and matroid optimization problems
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GECCO
2005
Springer
130views Optimization» more  GECCO 2005»
14 years 1 months ago
Quality-time analysis of multi-objective evolutionary algorithms
A quality-time analysis of multi-objective evolutionary algorithms (MOEAs) based on schema theorem and building blocks hypothesis is developed. A bicriteria OneMax problem, a hypo...
Jian-Hung Chen, Shinn-Ying Ho, David E. Goldberg
CEC
2009
IEEE
14 years 24 days ago
Memetic algorithm with Local search chaining for large scale continuous optimization problems
Abstract— Memetic algorithms arise as very effective algorithms to obtain reliable and high accurate solutions for complex continuous optimization problems. Nowadays, high dimens...
Daniel Molina, Manuel Lozano, Francisco Herrera
GECCO
2005
Springer
145views Optimization» more  GECCO 2005»
14 years 1 months ago
Three dimensional evolutionary aerodynamic design optimization with CMA-ES
In this paper, we present the application of evolutionary optimization methods to a demanding, industrially relevant engineering domain, the three-dimensional optimization of gas ...
Martina Hasenjäger, Bernhard Sendhoff, Toyota...
GECCO
2005
Springer
112views Optimization» more  GECCO 2005»
14 years 1 months ago
A multiple objective evolutionary algorithm for multiple sequence alignment
The problem of multiple sequence alignment is important for bioinformatics. This problem is widely studied and a popular tool to solve this problem is Clustal X. This work introdu...
Pasut Seeluangsawat, Prabhas Chongstitvatana
PPSN
2010
Springer
13 years 6 months ago
Design and Comparison of two Evolutionary Approaches for Solving the Rubik's Cube
Solutions calculated by Evolutionary Algorithms have come to surpass exact methods for solving various problems. The Rubik’s Cube multiobjective optimization problem is one such ...
Nail El-Sourani, Markus Borschbach