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ECAI
2006
Springer
15 years 3 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 4 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 6 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
15 years 8 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 6 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