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» Distributed hyper-heuristics for real parameter optimization
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GECCO
2009
Springer
141views Optimization» more  GECCO 2009»
10 years 11 months ago
Distributed hyper-heuristics for real parameter optimization
Hyper-heuristics (HHs) are heuristics that work with an arbitrary set of search operators or algorithms and combine these algorithms adaptively to achieve a better performance tha...
Marco Biazzini, Balázs Bánhelyi, Alb...
ICPPW
2009
IEEE
10 years 11 months ago
Fast Autotuning Configurations of Parameters in Distributed Computing Systems Using Ordinal Optimization
Conventional autotuning configuration of parameters in distributed computing systems using evolutionary strategies increases integrated performance notably, though at the expense ...
Fan Zhang, Junwei Cao, Lianchen Liu, Cheng Wu
CORR
2007
Springer
115views Education» more  CORR 2007»
10 years 4 months ago
Real Options for Project Schedules (ROPS)
Real Options for Project Schedules (ROPS) has three recursive sampling/optimization shells. An outer Adaptive Simulated Annealing (ASA) optimization shell optimizes parameters of ...
Lester Ingber
AAAI
2007
10 years 6 months ago
A Multi-Agent Approach to Distributed Rendering Optimization
Physically based rendering is the process of generating a 2D om the abstract description of a 3D Scene. Despite the development of various new techniques and algorithms, the compu...
Carlos Gonzalez-Morcillo, Gerhard Weiss, Luis Jim&...
ICRA
2010
IEEE
162views Robotics» more  ICRA 2010»
10 years 2 months ago
Comparing and modeling distributed control strategies for miniature self-assembling robots
— We propose two contrasting approaches to the scalable distributed control of a swarm of self-assembling miniaturized robots, specifically the formation of chains of a desired ...
William C. Evans, Grégory Mermoud, Alcherio...
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