146 search results - page 11 / 30 » A new multi-objective evolutionary algorithm for solving hig... |
CEC
2010
IEEE
13 years 7 months ago
2010
IEEE
Abstract— Over the last years, interest in hybrid metaheuristics has risen considerably in the field of optimization. Combinations of methods such as evolutionary algorithms and...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
This work describes a forward-looking approach for the solution of dynamic (time-changing) problems using evolutionary algorithms. The main idea of the proposed method is to combi...
AI
2003
Springer
14 years 19 days ago
2003
Springer
The prediction of a protein’s structure from its amino-acid sequence is one of the most important problems in computational biology. In the current focus on a widely studied abst...
GECCO
2007
Springer
2007
Springer
Optimising the flow of experiments to a robot scientist with multi-objective evolutionary algorithms
14 years 1 months ago
A Robot Scientist is a physically implemented system that applies artificial intelligence to autonomously discover new knowledge through cycles of scientific experimentation. Ad...
CEC
2010
IEEE
13 years 8 months ago
2010
IEEE
Computational science is placing new demands on optimization algorithms as the size of data sets and the computational complexity of scientific models continue to increase. As thes...