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DAGSTUHL
2008
13 years 9 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
2008
Springer
363views Optimization» more  GECCO 2008»
13 years 8 months ago
Towards high speed multiobjective evolutionary optimizers
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder
CEC
2009
IEEE
14 years 2 months ago
The multiobjective evolutionary algorithm based on determined weight and sub-regional search
— By dividing the multiobjective optimization of the decision space into several small regions, this paper proposes multi-objective optimization algorithm based on sub-regional s...
Hai-lin Liu, Xueqiang Li
GECCO
2010
Springer
157views Optimization» more  GECCO 2010»
14 years 8 days ago
Configuration of a genetic algorithm for multi-objective optimisation of solar gain to buildings
We report the formulation and implementation of a genetic algorithm to address multi-objective optimisation of solar gain to buildings with the goal of minimising energy consumpti...
Ralph Evins
GECCO
2004
Springer
152views Optimization» more  GECCO 2004»
14 years 26 days ago
A Hybrid Ant Colony Optimisation Technique for Dynamic Vehicle Routing
Abstract. This paper is concerned with a dynamic vehicle routing problem. The problem is dynamic in the sense that the time it will take to traverse each edge is uncertain. The pro...
Darren M. Chitty, Marcel L. Hernandez