36 search results - page 1 / 8 » An EMO Algorithm Using the Hypervolume Measure as Selection ... |
EMO
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. The hypervolume measure is one of the most frequently applied measures for comparing the results of evolutionary multiobjective optimization algorithms (EMOA). The idea t...
EMO
2005
Springer
13 years 10 months ago
2005
Springer
We present a new analysis of the LebMeasure algorithm for calculating hypervolume. We prove that although it is polynomial in the number of points, LebMeasure is exponential in the...
EC
2011
12 years 11 months ago
2011
Abstract—In the field of evolutionary multi-criterion optimization, the hypervolume indicator is the only single set quality measure that is known to be strictly monotonic with ...
EMO
2009
Springer
13 years 9 months ago
2009
Springer
Abstract. Most existing evolutionary approaches to multiobjective optimization aim at finding an appropriate set of compromise solutions, ideally a subset of the Pareto-optimal se...
GECCO
2007
Springer
13 years 10 months ago
2007
Springer
In the design of evolutionary multiobjective optimization (EMO) algorithms, it is important to strike a balance between diversity and convergence. Traditional mask-based crossover...