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» Privacy-Preserving Multi-Objective Evolutionary Algorithms
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GECCO
2008
Springer
163views Optimization» more  GECCO 2008»
13 years 7 months ago
Embedded evolutionary multi-objective optimization for worst case robustness
In Multi-Objective Problems (MOPs) involving uncertainty, each solution might be associated with a cluster of performances in the objective space depending on the possible scenari...
Gideon Avigad, Jürgen Branke
GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
14 years 4 days 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...
DAC
2008
ACM
14 years 7 months ago
Concurrent topology and routing optimization in automotive network integration
In this paper, a novel automatic approach for the concurrent topology and routing optimization that achieves a high quality network layout is proposed. This optimization is based ...
Bardo Lang, Christian Haubelt, Jürgen Teich, ...
EMO
2006
Springer
87views Optimization» more  EMO 2006»
13 years 9 months ago
Symbolic Archive Representation for a Fast Nondominance Test
Abstract. Archives are used in Multi-Objective Evolutionary Algorithms to establish elitism. Depending on the optimization problem, an unconstrained archive may grow to an immense ...
Martin Lukasiewycz, Michael Glaß, Christian ...
CEC
2010
IEEE
13 years 6 months ago
Multi-objective mobile agent-based Sensor Network Routing using MOEA/D
Abstract— Mobile agents are often used in wireless sensor networks for distributed target detection with the goal of minimizing the transmission of non-critical data that negativ...
Andreas Konstantinidis 0002, Christoforos Charalam...