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GECCO
2009
Springer
156views Optimization» more  GECCO 2009»
15 years 7 months ago
Characterizing the genetic programming environment for fifth (GPE5) on a high performance computing cluster
Solving complex, real-world problems with genetic programming (GP) can require extensive computing resources. However, the highly parallel nature of GP facilitates using a large n...
Kenneth Holladay
GECCO
2009
Springer
147views Optimization» more  GECCO 2009»
15 years 7 months ago
Evolutionary algorithms and multi-objectivization for the travelling salesman problem
This paper studies the multi-objectivization of single-objective optimization problems (SOOP) using evolutionary multi-objective algorithms (EMOAs). In contrast to the single-obje...
Martin Jähne, Xiaodong Li, Jürgen Branke
115
Voted
GECCO
2009
Springer
172views Optimization» more  GECCO 2009»
15 years 5 months ago
Comparison of similarity measures for the multi-objective vehicle routing problem with time windows
The Vehicle Routing Problem can be seen as a fusion of two well known combinatorial problems, the Travelling Salesman Problem and Bin Packing Problem. It has several variants, the...
Abel Garcia-Najera, John A. Bullinaria
GECCO
2009
Springer
119views Optimization» more  GECCO 2009»
15 years 5 months ago
Cooperative micro-differential evolution for high-dimensional problems
High–dimensional optimization problems appear very often in demanding applications. Although evolutionary algorithms constitute a valuable tool for solving such problems, their ...
Konstantinos E. Parsopoulos
GECCO
2009
Springer
125views Optimization» more  GECCO 2009»
15 years 5 months ago
Preserving population diversity for the multi-objective vehicle routing problem with time windows
The Vehicle Routing Problem’s main objective is to find the lowest-cost set of routes to deliver goods to customers, which have a service time window, using a fleet of identic...
Abel Garcia-Najera