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GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
15 years 8 months ago
Solving large scale combinatorial optimization using PMA-SLS
Memetic algorithms have become to gain increasingly important for solving large scale combinatorial optimization problems. Typically, the extent of the application of local search...
Jing Tang, Meng-Hiot Lim, Yew-Soon Ong, Meng Joo E...
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
15 years 8 months ago
A genetic algorithm approach to the selection of near-optimal subsets from large sets
The problem attempted in this paper is to select a sample from a large set where the sample is required to have a particular average property. The problem can be expressed as an o...
P. Whiting, P. W. Poon, J. N. Carter
GECCO
2005
Springer
204views Optimization» more  GECCO 2005»
15 years 8 months ago
Modeling systems with internal state using evolino
Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...
Daan Wierstra, Faustino J. Gomez, Jürgen Schm...
HM
2005
Springer
98views Optimization» more  HM 2005»
15 years 8 months ago
A Hybrid GRASP with Data Mining for the Maximum Diversity Problem
Abstract. The maximum diversity problem (MDP) consists in identifying, in a population, a subset of elements, characterized by a set of attributes, that present the most diverse ch...
L. F. Santos, Marcos Henrique Ribeiro, Alexandre P...
HM
2005
Springer
140views Optimization» more  HM 2005»
15 years 8 months ago
Fast Ejection Chain Algorithms for Vehicle Routing with Time Windows
Abstract. This paper introduces a new algorithm, based on the concept of ejection chains, to effectively target vehicle routing problems with time window constraints (VRPTW). Ejec...
Herman Sontrop, Pieter van der Horn, Marc Uetz
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