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ICAISC
2004
Springer
13 years 11 months ago
Comparison of Instances Seletion Algorithms I. Algorithms Survey
Abstract. Several methods were proposed to reduce the number of instances (vectors) in the learning set. Some of them extract only bad vectors while others try to remove as many in...
Norbert Jankowski, Marek Grochowski
GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
13 years 9 months ago
Comparison of multi-objective evolutionary algorithms in optimizing combinations of reinsurance contracts
Our paper concerns optimal combinations of different types of reinsurance contracts. We introduce a novel approach based on the Mean-Variance-Criterion to solve this task. Two sta...
Ingo Oesterreicher, Andreas Mitschele, Frank Schlo...
MP
2002
85views more  MP 2002»
13 years 5 months ago
From fluid relaxations to practical algorithms for job shop scheduling: the makespan objective
We design an algorithm, called the fluid synchronization algorithm (FSA), for the job shop scheduling problem with the objective of minimizing the makespan. We round an optimal sol...
Dimitris Bertsimas, Jay Sethuraman
EVOW
2004
Springer
13 years 11 months ago
Binary Merge Model Representation of the Graph Colouring Problem
This paper describes a novel representation and ordering model that, aided by an evolutionary algorithm, is used in solving the graph k-colouring problem. Its strength lies in redu...
István Juhos, Attila Tóth, Jano I. v...
GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
13 years 11 months ago
A genetic algorithm for unmanned aerial vehicle routing
Genetic Algorithms (GAs) can efficiently produce high quality results for hard combinatorial real world problems such as the Vehicle Routing Problem (VRP). Genetic Vehicle Represe...
Matthew A. Russell, Gary B. Lamont