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EMO
2006
Springer
124views Optimization» more  EMO 2006»
15 years 7 months ago
I-MODE: An Interactive Multi-objective Optimization and Decision-Making Using Evolutionary Methods
With the popularity of efficient multi-objective evolutionary optimization (EMO) techniques and the need for such problem-solving activities in practice, EMO methodologies and EMO ...
Kalyanmoy Deb, Shamik Chaudhuri
ISN
1998
Springer
15 years 7 months ago
See What You Sign: Secure Implementations of Digital Signatures
An expectation of a signature system is that a signatory cannot dispute a signature. Aiming at this, the following questions arise: Can documents in electronic commerce on the Inte...
Arnd Weber
AAAI
2008
15 years 6 months ago
Perpetual Learning for Non-Cooperative Multiple Agents
This paper examines, by argument, the dynamics of sequences of behavioural choices made, when non-cooperative restricted-memory agents learn in partially observable stochastic gam...
Luke Dickens
ATAL
2008
Springer
15 years 6 months ago
Using multi-agent potential fields in real-time strategy games
Bots for Real Time Strategy (RTS) games provide a rich challenge to implement. A bot controls a number of units that may have to navigate in a partially unknown environment, while...
Johan Hagelbäck, Stefan J. Johansson
CIKM
2008
Springer
15 years 6 months ago
Efficient and effective link analysis with precomputed salsa maps
SALSA is a link-based ranking algorithm that takes the result set of a query as input, extends the set to include additional neighboring documents in the web graph, and performs a...
Marc Najork, Nick Craswell