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ECAI
2006
Springer
15 years 8 months ago
Calibrating Probability Density Forecasts with Multi-Objective Search
Abstract. In this paper, we show that the optimization of density forecasting models for regression in machine learning can be formulated as a multi-objective problem. We describe ...
Michael Carney, Padraig Cunningham
GECCO
2006
Springer
187views Optimization» more  GECCO 2006»
15 years 10 months ago
The gregarious particle swarm optimizer (G-PSO)
This paper presents a gregarious particle swarm optimization algorithm (G-PSO) in which the particles explore the search space by aggressively scouting the local minima with the h...
Srinivas Pasupuleti, Roberto Battiti
EMO
2003
Springer
81views Optimization» more  EMO 2003»
15 years 11 months ago
Solving Hierarchical Optimization Problems Using MOEAs
Abstract. In this paper, we propose an approach for solving hierarchical multi-objective optimization problems (MOPs). In realistic MOPs, two main challenges have to be considered:...
Christian Haubelt, Sanaz Mostaghim, Jürgen Te...
EVOW
2009
Springer
16 years 1 months ago
Discrete Particle Swarm Optimization for Multiple Destination Routing Problems
This paper proposes a discrete particle swarm optimization (DPSO) to solve the multiple destination routing (MDR) problems. The problem has been proven to be NP-complete and the tr...
Zhi-hui Zhan, Jun Zhang
SAC
2005
ACM
15 years 12 months ago
A multi-agent approach for solving optimization problems involving expensive resources
In this paper, we propose a multi-agent approach for solving a class of optimization problems involving expensive resources, where monolithic local search schemes perform miserabl...
Hoong Chuin Lau, Hui Wang