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GECCO
2000
Springer
170views Optimization» more  GECCO 2000»
15 years 5 months ago
A Comparison of Genetic Algorithms for the Dynamic Job Shop Scheduling Problem
The majority of the research using evolutionary algorithms for the Job Shop Scheduling Problem (JSSP) has studied only the static JSSP. Few evolutionary algorithms have been appli...
Manuel Vázquez, L. Darrell Whitley
GECCO
2007
Springer
210views Optimization» more  GECCO 2007»
15 years 8 months ago
Mining breast cancer data with XCS
In this paper, we describe the use of a modern learning classifier system to a data mining task. In particular, in collaboration with a medical specialist, we apply XCS to a prima...
Faten Kharbat, Larry Bull, Mohammed Odeh
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
15 years 8 months ago
Towards clustering with XCS
This paper presents a novel approach to clustering using an accuracy-based Learning Classifier System. Our approach achieves this by exploiting the generalization mechanisms inher...
Kreangsak Tamee, Larry Bull, Ouen Pinngern
AIPS
2008
15 years 4 months ago
Effective Information Value Calculation for Interruption Management in Multi-Agent Scheduling
This paper addresses the problem of deciding effectively whether to interrupt a teammate who may have information that is valuable for solving a collaborative scheduling problem. ...
David Sarne, Barbara J. Grosz, Peter Owotoki
EUROPAR
2007
Springer
15 years 8 months ago
Negotiation Strategies Considering Opportunity Functions for Grid Scheduling
In Grid systems, nontrivial qualities of service have to be provided to users by the resource providers. However, resource management in a decentralized infrastructure is a complex...
Jiadao Li, Kwang Mong Sim, Ramin Yahyapour