Sciweavers

845 search results - page 8 / 169
» A Graphical Model for Evolutionary Optimization
Sort
View
GECCO
2006
Springer
130views Optimization» more  GECCO 2006»
15 years 1 months ago
An efficient multi-objective evolutionary algorithm with steady-state replacement model
The generic Multi-objective Evolutionary Algorithm (MOEA) aims to produce Pareto-front approximations with good convergence and diversity property. To achieve convergence, most mu...
Dipti Srinivasan, Lily Rachmawati
3DPVT
2006
IEEE
233views Visualization» more  3DPVT 2006»
15 years 3 months ago
Scanline Optimization for Stereo on Graphics Hardware
In this work we propose a scanline optimization procedure for computational stereo using a linear smoothness cost model performed by programmable graphics hardware. The main idea ...
Christopher Zach, Mario Sormann, Konrad F. Karner
GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
15 years 3 months ago
An analysis of the effects of population structure on scalable multiobjective optimization problems
Multiobjective evolutionary algorithms (MOEA) are an effective tool for solving search and optimization problems containing several incommensurable and possibly conflicting objec...
Michael Kirley, Robert L. Stewart
GECCO
2005
Springer
107views Optimization» more  GECCO 2005»
15 years 3 months ago
Minimum spanning trees made easier via multi-objective optimization
Many real-world problems are multi-objective optimization problems and evolutionary algorithms are quite successful on such problems. Since the task is to compute or approximate t...
Frank Neumann, Ingo Wegener
85
Voted
TEC
2002
128views more  TEC 2002»
14 years 9 months ago
A framework for evolutionary optimization with approximate fitness functions
It is not unusual that an approximate model is needed for fitness evaluation in evolutionary computation. In this case, the convergence properties of the evolutionary algorithm are...
Yaochu Jin, Markus Olhofer, Bernhard Sendhoff