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142
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GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
15 years 9 months ago
An analysis of the effects of population structure on scalable multiobjective optimization problems
Multiobjective evolutionary algorithms (MOEA) are an effective tool for solving search and optimization problems containing several incommensurable and possibly conflicting objec...
Michael Kirley, Robert L. Stewart
141
Voted
GECCO
2009
Springer
172views Optimization» more  GECCO 2009»
15 years 8 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
2007
Springer
289views Optimization» more  GECCO 2007»
15 years 9 months ago
A discrete particle swarm optimization algorithm for the generalized traveling salesman problem
Dividing the set of nodes into clusters in the well-known traveling salesman problem results in the generalized traveling salesman problem which seeking a tour with minimum cost p...
Mehmet Fatih Tasgetiren, Ponnuthurai N. Suganthan,...
128
Voted
GECCO
2009
Springer
125views Optimization» more  GECCO 2009»
15 years 8 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
118
Voted
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
15 years 9 months ago
Evolving problem heuristics with on-line ACGP
Genetic Programming uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees. ...
Cezary Z. Janikow