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EC
2012
289views ECommerce» more  EC 2012»
14 years 2 months ago
Multimodal Optimization Using a Bi-Objective Evolutionary Algorithm
In a multimodal optimization task, the main purpose is to find multiple optimal solutions (global and local), so that the user can have a better knowledge about different optima...
Kalyanmoy Deb, Amit Saha
IWANN
2001
Springer
15 years 11 months ago
Evolving RBF Neural Networks
This paper is focused on determining the parameters of radial basis function neural networks (number of neurons, and their respective centers and radii) automatically. While this ...
Víctor Manuel Rivas Santos, Pedro A. Castil...
VL
2007
IEEE
16 years 1 months ago
Evaluating an Automated Tool to Assist Evolutionary Document Generation
While using how-to documents for guidance in performing computer-based tasks, users often run into problems due to inaccurate, out-of-date and incomplete documentation. These prob...
Gahgene Gweon, Lawrence D. Bergman, Vittorio Caste...
GECCO
2007
Springer
164views Optimization» more  GECCO 2007»
16 years 29 days 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
GECCO
2007
Springer
190views Optimization» more  GECCO 2007»
16 years 29 days ago
Interactive evolutionary multi-objective optimization and decision-making using reference direction method
In this paper, we borrow the concept of reference direction approach from the multi-criterion decision-making literature and combine it with an EMO procedure to develop an algorit...
Kalyanmoy Deb, Abhishek Kumar