Sciweavers

GECCO
2006
Springer
134views Optimization» more  GECCO 2006»
14 years 3 months ago
Incorporating directional information within a differential evolution algorithm for multi-objective optimization
The field of Differential Evolution (DE) has demonstrated important advantages in single objective optimization. To date, no previous research has explored how the unique characte...
Antony W. Iorio, Xiaodong Li
GECCO
2006
Springer
124views Optimization» more  GECCO 2006»
14 years 3 months ago
Rotated test problems for assessing the performance of multi-objective optimization algorithms
This paper presents four rotatable multi-objective test problems that are designed for testing EMO (Evolutionary Multiobjective Optimization) algorithms on their ability in dealin...
Antony W. Iorio, Xiaodong Li
GECCO
2006
Springer
145views Optimization» more  GECCO 2006»
14 years 3 months ago
Multi-objective genetic algorithms for pipe arrangement design
This paper presents an automatic design method for piping arrangement. A pipe arrangement design problem is proposed for a space in which many pipes and objects co-exist. This pro...
Satoshi Ikehira, Hajime Kimura
GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
14 years 3 months ago
A computational efficient covariance matrix update and a (1+1)-CMA for evolution strategies
First, the covariance matrix adaptation (CMA) with rankone update is introduced into the (1+1)-evolution strategy. An improved implementation of the 1/5-th success rule is propose...
Christian Igel, Thorsten Suttorp, Nikolaus Hansen
GECCO
2006
Springer
218views Optimization» more  GECCO 2006»
14 years 3 months ago
Genetic programming with primitive recursion
When Genetic Programming is used to evolve arithmetic functions it often operates by composing them from a fixed collection of elementary operators and applying them to parameters...
Stefan Kahrs
GECCO
2006
Springer
143views Optimization» more  GECCO 2006»
14 years 3 months ago
DECA: dimension extracting coevolutionary algorithm
Coevolution has often been based on averaged outcomes, resulting in unstable evaluation. Several theoretical approaches have used archives to provide stable evaluation. However, t...
Edwin D. de Jong, Anthony Bucci
GECCO
2006
Springer
166views Optimization» more  GECCO 2006»
14 years 3 months ago
Comparing genetic robustness in generational vs. steady state evolutionary algorithms
Previous research has shown that evolutionary systems not only try to develop solutions that satisfy a fitness requirement, but indirectly attempt to develop genetically robust so...
Josh Jones, Terry Soule
GECCO
2006
Springer
137views Optimization» more  GECCO 2006»
14 years 3 months ago
Evolutionary design of fault-tolerant analog control for a piezoelectric pipe-crawling robot
In this paper, a genetic algorithm (GA) is used to design faulttolerant analog controllers for a piezoelectric micro-robot. Firstorder and second-order functions are developed to ...
Geoffrey A. Hollinger, David A. Gwaltney
GECCO
2006
Springer
282views Optimization» more  GECCO 2006»
14 years 3 months ago
A genetic algorithm for the longest common subsequence problem
A genetic algorithm for the longest common subsequence problem encodes candidate sequences as binary strings that indicate subsequences of the shortest or first string. Its fitnes...
Brenda Hinkemeyer, Bryant A. Julstrom