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121
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GECCO
2006
Springer
191views Optimization» more  GECCO 2006»
15 years 7 months ago
The Brueckner network: an immobile sorting swarm
In many industrial applications, the dynamic control of queuing and routing presents difficult challenges. We describe a novel ant colony control system for a multiobjective sorti...
William A. Tozier, Michael R. Chesher, Tejinderpal...
168
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CEC
2009
IEEE
15 years 8 months ago
Automatic clustering with multi-objective Differential Evolution algorithms
—This paper applies the Differential Evolution (DE) algorithm to the task of automatic fuzzy clustering in a Multi-objective Optimization (MO) framework. It compares the performa...
Kaushik Suresh, Debarati Kundu, Sayan Ghosh, Swaga...
GECCO
2009
Springer
131views Optimization» more  GECCO 2009»
15 years 8 months ago
Rapid prototyping using evolutionary approaches: part 1
In this paper we describe a multi-objective problem solving approach, simultaneously minimizing average surface roughness Ra and build Time T, for object manufacturing by Rapid Pr...
Nikhil Padhye, Subodh Kalia
IFSA
2007
Springer
138views Fuzzy Logic» more  IFSA 2007»
15 years 9 months ago
Optimization to Manage Supply Chain Disruptions Using the NSGA-II
Disruption on a supply chain provokes lost that should be minimized looking for alternative suppliers. This solution involves a strategy to manage the impact of the disruption and ...
Víctor Serrano, Matías Alvarado, Car...
127
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ISDA
2008
IEEE
15 years 10 months ago
Towards a Suitable Reconciliation of the Findings in Collaborative Fuzzy Clustering
This study is concerned with the application of multi-objective particle swarm optimization (MOPSO) approaches to the framework of collaborative fuzzy clustering. In particular, t...
Rafael Falc, Benoît Depaire, Koen Vanhoof, A...