Amanote Research

Amanote Research

    RegisterSign In

Evaluating Ranking Composition Methods for Multi-Objective Optimization of Knowledge Rules

doi 10.1109/his.2008.154
Full Text
Open PDF
Abstract

Available in full text

Date

September 1, 2008

Authors
Rafael GiustiGustavo E.A.P.A. BatistaRonaldo Cristiano Prati
Publisher

IEEE


Related search

Discovering Knowledge Rules With Multi-Objective Evolutionary Computing

2010English

Industrial Applications of Intelligent Adaptive Sampling Methods for Multi-Objective Optimization

2019English

Multi-Objective Optimization

2017English

Multi-Objective Optimization

2017English

Multi-Objective Optimization

English

Efficient Multi-Objective Optimization Methods for Computationally Intensive Urban Water Resources Models

Journal of Hydroinformatics
Geotechnical EngineeringCivilEngineering GeologyAtmospheric ScienceStructural EngineeringWater ScienceTechnology
2014English

Multi-Objective Optimization for Facilities Management

Journal of Business Economics and Management
AccountingManagementEconomicsEconometricsBusiness
2004English

The Airport Gate Assignment Problem – Multi-Objective Optimization Versus Evolutionary Multi-Objective Optimization

Computer Science
Computer GraphicsPattern RecognitionComputer NetworksSimulationCommunicationsComputer VisionComputer-Aided DesignComputer ScienceMathematicsComputational TheoryModelingArtificial Intelligence
2017English

An Integrated Approach of Multi-Objective Optimization Model for Evaluating New Supporting Program in Irish Hospitals

2016English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy