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CEC
2008
IEEE
16 years 1 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...
GECCO
2007
Springer
149views Optimization» more  GECCO 2007»
16 years 29 days ago
Informative performance metrics for dynamic optimisation problems
Existing metrics for dynamic optimisation are designed primarily to rate an algorithm’s overall performance. These metrics show whether one algorithm is better than another, but...
Stefan Bird, Xiaodong Li
GECCO
2007
Springer
143views Optimization» more  GECCO 2007»
16 years 29 days ago
Learning and exploiting knowledge in multi-agent task allocation problems
Imagine a group of cooperating agents attempting to allocate tasks amongst themselves without knowledge of their own capabilities. Over time, they develop a belief of their own sk...
Adam Campbell, Annie S. Wu
CONEXT
2006
ACM
16 years 23 days ago
Reformulating the monitor placement problem: optimal network-wide sampling
Confronted with the generalization of monitoring in operational networks, researchers have proposed placement algorithms that can help ISPs deploy their monitoring infrastructure ...
Gion Reto Cantieni, Gianluca Iannaccone, Chadi Bar...
QSHINE
2005
IEEE
16 years 12 days ago
Solving The Multi-Constrained Path Selection Problem By Using Depth First Search
An extended depth-first-search (EDFS) algorithm is proposed to solve the multi-constrained path (MCP) problem in quality-of-service (QoS) routing, which is NP-Complete when the n...
Zhenjiang Li, J. J. Garcia-Luna-Aceves