Sciweavers

54 search results - page 1 / 11
» Methodology to select solutions from the pareto-optimal set:...
Sort
View
GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
14 years 2 months ago
Methodology to select solutions from the pareto-optimal set: a comparative study
The resolution of a Multi-Objective Optimization Problem (MOOP) does not end when the Pareto-optimal set is found. In real problems, a single solution must be selected. Ideally, t...
José C. Ferreira, Carlos M. Fonseca, Ant&oa...
IJCIM
2007
99views more  IJCIM 2007»
13 years 8 months ago
Fuzzy multi-objective optimization for network design of integrated e-supply chains
Worldwide competition originated the development of Integrated E-Supply Chains (IESC) that are distributed manufacturing systems integrating international logistics and informatio...
Mariagrazia Dotoli, Maria Pia Fanti, Agostino Marc...
DAGSTUHL
2008
13 years 10 months ago
Interactive Multiobjective Optimization Using a Set of Additive Value Functions
Abstract. In this chapter, we present a new interactive procedure for multiobjective optimization, which is based on the use of a set of value functions as a preference model built...
José Rui Figueira, Salvatore Greco, Vincent...
GECCO
2007
Springer
176views Optimization» more  GECCO 2007»
14 years 2 months ago
Two-level of nondominated solutions approach to multiobjective particle swarm optimization
In multiobjective particle swarm optimization (MOPSO) methods, selecting the local best and the global best for each particle of the population has a great impact on the convergen...
M. A. Abido
CBMS
2009
IEEE
14 years 3 months ago
Comparative study of spine vertebra shape retrieval using learning-based feature selection
Feature extraction and selection are two important steps for shape retrieval. Given a data set, a set of features which describe the shape property from different aspects are extr...
Haiying Guan, Sameer Antani, L. Rodney Long, Georg...