Sciweavers

9 search results - page 1 / 2
» Defining and Optimizing Indicator-Based Diversity Measures i...
Sort
View
PPSN
2010
Springer
13 years 2 months ago
Defining and Optimizing Indicator-Based Diversity Measures in Multiobjective Search
Abstract. In this paper, we elaborate how decision space diversity can be integrated into indicator-based multiobjective search. We introduce DIOP, the diversity integrating multio...
Tamara Ulrich, Johannes Bader, Lothar Thiele
PPSN
2004
Springer
13 years 10 months ago
Indicator-Based Selection in Multiobjective Search
Abstract. This paper discusses how preference information of the decision maker can in general be integrated into multiobjective search. The main idea is to first define the opti...
Eckart Zitzler, Simon Künzli
EVOW
2006
Springer
13 years 8 months ago
A Preliminary Study on Handling Uncertainty in Indicator-Based Multiobjective Optimization
Abstract. Real-world optimization problems are often subject to uncertainties, which can arise regarding stochastic model parameters, objective functions and decision variables. Th...
Matthieu Basseur, Eckart Zitzler
GECCO
2009
Springer
125views Optimization» more  GECCO 2009»
13 years 9 months ago
Preserving population diversity for the multi-objective vehicle routing problem with time windows
The Vehicle Routing Problem’s main objective is to find the lowest-cost set of routes to deliver goods to customers, which have a service time window, using a fleet of identic...
Abel Garcia-Najera
IDEAL
2004
Springer
13 years 10 months ago
DIVACE: Diverse and Accurate Ensemble Learning Algorithm
In order for a neural network ensemble to generalise properly, two factors are considered vital. One is the diversity and the other is the accuracy of the networks that comprise th...
Arjun Chandra, Xin Yao