A hybrid, auto-adaptive and rule-based multi-agent approach using evolutionary algorithms for improved searching-Reference-Cited by-同舟云学术

A hybrid, auto-adaptive and rule-based multi-agent approach using evolutionary algorithms for improved searching

Published:2015-11-19 Issue:8 Volume:48 Page:1365-1377
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Izquierdo Joaquín¹,Montalvo Idel²,Campbell Enrique¹,Pérez-García Rafael¹

Affiliation:

1. FluIng-IMM, Universitat Politècnica de València, Valencia, Spain

2. Ingeniousware GmbH, Karlsruhe, Germany

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2015.1107434

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3. Berardi, L., D. Laucelli, and O. Giustolisi. 2012. “A Decision Support Tool for Operational Optimization in WDNETXL.” In The 14th Water Distribution Systems Analysis Conference, ASCE, Adelaide, South Australia, 48–65.

4. Mining Projected Clusters in High-Dimensional Spaces

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