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99
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GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
15 years 8 months ago
Analyzing heuristic performance with response surface models: prediction, optimization and robustness
This research uses a Design of Experiments (DOE) approach to build a predictive model of the performance of a combinatorial optimization heuristic over a range of heuristic tuning...
Enda Ridge, Daniel Kudenko
135
Voted
GECCO
2007
Springer
241views Optimization» more  GECCO 2007»
15 years 8 months ago
Binary ant algorithm
When facing dynamic optimization problems the goal is no longer to find the extrema, but to track their progression through the space as closely as possible. Over these kind of ov...
Carlos Fernandes, Agostinho C. Rosa, Vitorino Ramo...
123
Voted
GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
15 years 8 months ago
Methodology to select solutions from the pareto-optimal set: a comparative study
The resolution of a Multi-Objective Optimization Problem (MOOP) does not end when the Pareto-optimal set is found. In real problems, a single solution must be selected. Ideally, t...
José C. Ferreira, Carlos M. Fonseca, Ant&oa...
130
Voted
IPSN
2007
Springer
15 years 8 months ago
A platform for ubiquitous sensor deployment in occupational and domestic environments
In this paper, we introduce the “Plug” sensor network, a ubiquitous networked sensing platform ideally suited to broad deployment in environments where people work and live. T...
Joshua Lifton, Mark Feldmeier, Yasuhiro Ono, Camer...
111
Voted
IPSN
2007
Springer
15 years 8 months ago
The worst-case capacity of wireless sensor networks
The key application scenario of wireless sensor networks is data gathering: sensor nodes transmit data, possibly in a multi-hop fashion, to an information sink. The performance of...
Thomas Moscibroda
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