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GECCO
2007
Springer
190views Optimization» more  GECCO 2007»
14 years 1 months ago
Interactive evolutionary multi-objective optimization and decision-making using reference direction method
In this paper, we borrow the concept of reference direction approach from the multi-criterion decision-making literature and combine it with an EMO procedure to develop an algorit...
Kalyanmoy Deb, Abhishek Kumar
EMO
2006
Springer
124views Optimization» more  EMO 2006»
13 years 11 months ago
I-MODE: An Interactive Multi-objective Optimization and Decision-Making Using Evolutionary Methods
With the popularity of efficient multi-objective evolutionary optimization (EMO) techniques and the need for such problem-solving activities in practice, EMO methodologies and EMO ...
Kalyanmoy Deb, Shamik Chaudhuri
GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
14 years 6 days ago
On the appropriateness of evolutionary rule learning algorithms for malware detection
In this paper, we evaluate the performance of ten well-known evolutionary and non-evolutionary rule learning algorithms. The comparative study is performed on a real-world classiï...
M. Zubair Shafiq, S. Momina Tabish, Muddassar Faro...
WSC
2000
13 years 9 months ago
Simulation of an evolutionary tuned fuzzy dispatching system for automated guided vehicles
This paper presents the development and simulation of a novel Genetic Algorithm (GA) based methodology applied to optimal tuning of a fuzzy dispatching system for a fleet of autom...
Kok Kiong Tan, K. Z. Tang
DPD
2002
168views more  DPD 2002»
13 years 7 months ago
Evolutionary Algorithms for Allocating Data in Distributed Database Systems
A major cost in executing queries in a distributed database system is the data transfer cost incurred in transferring relations (fragments) accessed by a query from different sites...
Ishfaq Ahmad, Kamalakar Karlapalem, Yu-Kwong Kwok,...