Sciweavers

820 search results - page 9 / 164
» A Search Algorithm for Global Optimisation
Sort
View
GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
15 years 5 months ago
Finding critical backbone structures with genetic algorithms
This paper introduces the concept of a critical backbone as a minimal set of variables or part of the solution necessary to be within the basin of attraction of the global optimum...
Adam Prügel-Bennett
GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
15 years 5 months ago
Techniques for highly multiobjective optimisation: some nondominated points are better than others
The research area of evolutionary multiobjective optimization (EMO) is reaching better understandings of the properties and capabilities of EMO algorithms, and accumulating much e...
David W. Corne, Joshua D. Knowles
KBSE
2009
IEEE
15 years 6 months ago
Let the Ants Deploy Your Software - An ACO Based Deployment Optimisation Strategy
Abstract—Decisions regarding the mapping of software components to hardware nodes affect the quality of the resulting system. Making these decisions is hard when considering the ...
Aldeida Aleti, Lars Grunske, Indika Meedeniya, Ire...
GECCO
2005
Springer
101views Optimization» more  GECCO 2005»
15 years 5 months ago
Measuring mobility and the performance of global search algorithms
The global search properties of heuristic search algorithms are not well understood. In this paper, we introduce a new metric, mobility, that quantifies the dispersion of local o...
Monte Lunacek, L. Darrell Whitley, James N. Knight
GECCO
2007
Springer
119views Optimization» more  GECCO 2007»
15 years 5 months ago
Optimising the flow of experiments to a robot scientist with multi-objective evolutionary algorithms
A Robot Scientist is a physically implemented system that applies artificial intelligence to autonomously discover new knowledge through cycles of scientific experimentation. Ad...
Emma Byrne