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CEC
2007
IEEE
14 years 3 months ago
On performance metrics and particle swarm methods for dynamic multiobjective optimization problems
— This paper describes two performance measures for measuring an EMO (Evolutionary Multiobjective Optimization) algorithm’s ability to track a time-varying Paretofront in a dyn...
Xiaodong Li, Jürgen Branke, Michael Kirley
ECWEB
2007
Springer
144views ECommerce» more  ECWEB 2007»
14 years 2 months ago
Structural and Semantic Similarity Metrics for Web Service Matchmaking
Service matchmaking is the process of finding appropriate services for a given set of requirements. We present a novel service matchmaking approach based on the internal process o...
Akin Günay, Pinar Yolum
EWCBR
2004
Springer
14 years 2 months ago
Facilitating CBR for Incompletely-Described Cases: Distance Metrics for Partial Problem Descriptions
A fundamental problem for case-based reasoning systems is how to select relevant prior cases. Numerous strategies have been developed for determining the similarity of prior cases,...
Steven Bogaerts, David B. Leake
TOOLS
2010
IEEE
13 years 6 months ago
Visualizing Dynamic Metrics with Profiling Blueprints
While traditional approaches to code profiling help locate performance bottlenecks, they offer only limited support for removing these bottlenecks. The main reason is the lack of v...
Alexandre Bergel, Romain Robbes, Walter Binder
KDD
2008
ACM
172views Data Mining» more  KDD 2008»
14 years 9 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon