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» On the design of metaheuristic algorithms using fuzzy rules
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IPC
2007
IEEE
15 years 4 months ago
Intelligent Search Mechanism Based on Neuro-Fuzzy System for the Distributed Object Groups
Current research in distributed systems focuses on object group models which are designed for scalable systems and provide accessible objects to the entire group. However, dynamic...
Romeo Mark A. Mateo, Bobby D. Gerardo, Jaewan Lee
IPPS
2008
IEEE
15 years 4 months ago
A study of master-slave approaches to parallelize NSGA-II
Many of the optimization problems from the real world are multiobjective in nature, and the reference algorithm for multiobjective optimization is NSGA-II. Frequently, these probl...
Juan José Durillo, Antonio J. Nebro, Franci...
GECCO
2010
Springer
249views Optimization» more  GECCO 2010»
14 years 11 months ago
Towards improved dispatching rules for complex shop floor scenarios: a genetic programming approach
Developing dispatching rules for manufacturing systems is a tedious process, which is time- and cost-consuming. Since there is no good general rule for different scenarios and ob...
Torsten Hildebrandt, Jens Heger, Bernd Scholz-Reit...
SOCO
2002
Springer
14 years 9 months ago
Granular neural web agents for stock prediction
A granular neural Web-based stock prediction agent is developed using the granular neural network (GNN) that can discover fuzzy rules. Stock data sets are downloaded from www.yahoo...
Yan-Qing Zhang, Somasheker Akkaladevi, George J. V...
CP
2004
Springer
15 years 1 months ago
ID Walk: A Candidate List Strategy with a Simple Diversification Device
This paper presents a new optimization metaheuristic called ID Walk (Intensification/Diversification Walk) that offers advantages for combining simplicity with effectiveness. In ad...
Bertrand Neveu, Gilles Trombettoni, Fred Glover