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CEC
2008
IEEE
15 years 9 months ago
A parallel surrogate-assisted multi-objective evolutionary algorithm for computationally expensive optimization problems
Abstract— This paper presents a new efficient multiobjective evolutionary algorithm for solving computationallyintensive optimization problems. To support a high degree of parall...
Anna Syberfeldt, Henrik Grimm, Amos Ng, Robert Ivo...
JUCS
2006
117views more  JUCS 2006»
15 years 3 months ago
Resource Efficient Maintenance of Wireless Network Topologies
Abstract: Multiple hop routing in mobile ad hoc networks can minimize energy consumption and increase data throughput. Yet, the problem of radio interferences remain. However if th...
Tamás Lukovszki, Christian Schindelhauer, K...
FAC
2010
121views more  FAC 2010»
15 years 14 days ago
Blaming the client: on data refinement in the presence of pointers
Data refinement is a common approach to reasoning about programs, based on establishing that te program indeed satisfies all the required properties imposed by an intended abstract...
Ivana Filipovic, Peter W. O'Hearn, Noah Torp-Smith...
KBSE
2003
IEEE
15 years 8 months ago
Automated Software Testing Using a Metaheuristic Technique Based on Tabu Search
The use of techniques for automating the generation of software test cases is very important as it can reduce the time and cost of this process. The latest methods for automatic g...
Eugenia Díaz, Javier Tuya, Raquel Blanco
ICTAI
2009
IEEE
15 years 25 days ago
Constraint-Based Evolutionary QoS Adaptation for Power Utility Communication Networks
This paper studies an evolutionary multiobjective optimization algorithm, called EVOLT, which heuristically optimizes QoS (quality of service) in communication networks for electr...
Paskorn Champrasert, Junichi Suzuki, Tetsuo Otani