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» Intelligent Optimization via Learnable Evolution Model
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IAT
2005
IEEE
14 years 1 months ago
Decomposing Large-Scale POMDP Via Belief State Analysis
Partially observable Markov decision process (POMDP) is commonly used to model a stochastic environment with unobservable states for supporting optimal decision making. Computing ...
Xin Li, William K. Cheung, Jiming Liu
ACAL
2009
Springer
13 years 11 months ago
An Empirical Exploration of a Definition of Creative Novelty for Generative Art
Abstract. We explore a new definition of creativity -- one which emphasizes the statistical capacity of a system to generate previously unseen patterns -- and discuss motivations f...
Taras Kowaliw, Alan Dorin, Jon McCormack
GECCO
2010
Springer
184views Optimization» more  GECCO 2010»
13 years 10 months ago
A mono surrogate for multiobjective optimization
Most surrogate approaches to multi-objective optimization build a surrogate model for each objective. These surrogates can be used inside a classical Evolutionary Multiobjective O...
Ilya Loshchilov, Marc Schoenauer, Michèle S...
CEC
2009
IEEE
14 years 2 months ago
Heterogeneous particle swarm optimizers
— Particle swarm optimization (PSO) is a swarm intelligence technique originally inspired by models of flocking and of social influence that assumed homogeneous individuals. Du...
Marco Antonio Montes de Oca, Jorge Peña, Th...
AI
1999
Springer
13 years 7 months ago
Cooperative Behavior Acquisition for Mobile Robots in Dynamically Changing Real Worlds Via Vision-Based Reinforcement Learning a
In this paper, we first discuss the meaning of physical embodiment and the complexity of the environment in the context of multi-agent learning. We then propose a vision-based rei...
Minoru Asada, Eiji Uchibe, Koh Hosoda