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GECCO
2005
Springer
152views Optimization» more  GECCO 2005»
15 years 5 months ago
A multi-objective genetic algorithm for robust design optimization
Real-world multi-objective engineering design optimization problems often have parameters with uncontrollable variations. The aim of solving such problems is to obtain solutions t...
Mian Li, Shapour Azarm, Vikrant Aute
TSMC
2008
229views more  TSMC 2008»
14 years 11 months ago
A Comprehensive Survey of Multiagent Reinforcement Learning
Multiagent systems are rapidly finding applications in a variety of domains, including robotics, distributed control, telecommunications, and economics. The complexity of many task...
Lucian Busoniu, Robert Babuska, Bart De Schutter
GECCO
2008
Springer
182views Optimization» more  GECCO 2008»
15 years 26 days ago
Scaling ant colony optimization with hierarchical reinforcement learning partitioning
This paper merges hierarchical reinforcement learning (HRL) with ant colony optimization (ACO) to produce a HRL ACO algorithm capable of generating solutions for large domains. Th...
Erik J. Dries, Gilbert L. Peterson
SOSP
2003
ACM
15 years 8 months ago
Upgrading transport protocols using untrusted mobile code
In this paper, we present STP, a system in which communicating end hosts use untrusted mobile code to remotely upgrade each other with the transport protocols that they use to com...
Parveen Patel, Andrew Whitaker, David Wetherall, J...
IC
2010
14 years 9 months ago
Cloud Computing - The Next Revolution in Information Technology
: Computing is being transformed to a model consisting of services that are commoditised and delivered in a manner similar to utilities such as water, electricity, gas, and telepho...
Rajkumar Buyya