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101
Voted
GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
15 years 2 months ago
Dynamic multi-objective optimization with evolutionary algorithms: a forward-looking approach
This work describes a forward-looking approach for the solution of dynamic (time-changing) problems using evolutionary algorithms. The main idea of the proposed method is to combi...
Iason Hatzakis, David Wallace
83
Voted
EMO
2005
Springer
110views Optimization» more  EMO 2005»
15 years 4 months ago
Parallelization of Multi-objective Evolutionary Algorithms Using Clustering Algorithms
Abstract. While Single-Objective Evolutionary Algorithms (EAs) parallelization schemes are both well established and easy to implement, this is not the case for Multi-Objective Evo...
Felix Streichert, Holger Ulmer, Andreas Zell
COR
2011
14 years 6 months ago
An improved multi-objective evolutionary algorithm for the vehicle routing problem with time windows
The Vehicle Routing Problem with Time Windows is a complex combinatorial problem with many real-world applications in transportation and distribution logistics. Its main objective...
Abel Garcia-Najera, John A. Bullinaria
89
Voted
CEC
2009
IEEE
15 years 2 months ago
A simple multi-objective optimization algorithm for the urban transit routing problem
— The urban transit routing problem (UTRP) for public transport systems involves finding a set of efficient transit routes to meet customer demands. The UTRP is an NPHard, high...
Lang Fan, Christine L. Mumford, Dafydd Evans
CEC
2007
IEEE
15 years 2 months ago
Virtual reality high dimensional objective spaces for multi-objective optimization: An improved representation
This paper presents an approach for constructing improved visual representations of high dimensional objective spaces using virtual reality. These spaces arise from the solution of...
Julio J. Valdés, Alan J. Barton, Robert Orc...