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» Evolutionary algorithms and matroid optimization problems
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ACMSE
2008
ACM
13 years 10 months ago
Training approaches in neural enhancement for multiobjective optimization
In previous work, a neural network was used to increase the number of solutions found by an evolutionary multiobjective optimization algorithm. In this paper, various approaches a...
Aaron Garrett, Gerry V. Dozier
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
14 years 2 months ago
Observing the swarm behaviour during its evolutionary design
Evolutionary Algorithms (EAs) can be used for designing Particle Swarm Optimization (PSO) algorithms that work, in some cases, considerably better than the human-designed ones. By...
Laura Diosan, Mihai Oltean
EMO
2001
Springer
132views Optimization» more  EMO 2001»
14 years 16 days ago
Multi-objective Evolutionary Design of Fuzzy Autopilot Controller
Abstract. A multi-objective evolutionary algorithm is used to determine the membership function distribution within the outer loop control system of a non-linear missile autopilot ...
Anna L. Blumel, Evan J. Hughes, Brian A. White
CEC
2010
IEEE
13 years 9 months ago
Classifier-assisted constrained evolutionary optimization for automated geometry selection of orthodontic retraction spring
In orthodontics, retraction springs made of metallic wires are often used to move a tooth with respect to another by the virtue of the spring back effect. Specially selected form o...
Dudy Lim, Yew-Soon Ong, Rachman Setiawan, Muhammad...
GECCO
2007
Springer
164views Optimization» more  GECCO 2007»
14 years 2 months ago
A study of mutational robustness as the product of evolutionary computation
This paper investigates the ability of a tournament selection based genetic algorithm to find mutationally robust solutions to a simple combinatorial optimization problem. Two di...
Justin Schonfeld