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GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
15 years 7 months ago
Integrating user preferences with particle swarms for multi-objective optimization
This paper proposes a method to use reference points as preferences to guide a particle swarm algorithm to search towards preferred regions of the Pareto front. A decision maker c...
Upali K. Wickramasinghe, Xiaodong Li
GECCO
2008
Springer
144views Optimization» more  GECCO 2008»
15 years 7 months ago
Multi-resistant radar jamming using genetic algorithms
The next generation of advanced self-protection jammers is expected to deliver effective and energy efficient jamming against modern air tracking radars. However, optimizing such ...
Hans Jonas Fossum Moen, Stein Kristoffersen
ATAL
2010
Springer
15 years 6 months ago
PAC-MDP learning with knowledge-based admissible models
PAC-MDP algorithms approach the exploration-exploitation problem of reinforcement learning agents in an effective way which guarantees that with high probability, the algorithm pe...
Marek Grzes, Daniel Kudenko
CORR
2010
Springer
145views Education» more  CORR 2010»
15 years 6 months ago
Distributed Rate Allocation Policies for Multi-Homed Video Streaming over Heterogeneous Access Networks
We consider the problem of rate allocation among multiple simultaneous video streams sharing multiple heterogeneous access networks. We develop and evaluate an analytical framework...
Xiaoqing Zhu, Piyush Agrawal, Jatinder Pal Singh, ...
EAAI
2006
123views more  EAAI 2006»
15 years 6 months ago
Applications of artificial intelligence for optimization of compressor scheduling
This paper presents a feasibility study of evolutionary scheduling for gas pipeline operations. The problem is complex because of several constraints that must be taken into consi...
Hanh H. Nguyen, Christine W. Chan