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» Infrastructure Work Order Planning Using Genetic Algorithms
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GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
14 years 1 months ago
Three interconnected parameters for genetic algorithms
When an optimization problem is encoded using genetic algorithms, one must address issues of population size, crossover and mutation operators and probabilities, stopping criteria...
Pedro A. Diaz-Gomez, Dean F. Hougen
AAAI
1998
13 years 8 months ago
Fast Transformation of Temporal Plans for Efficient Execution
Temporal plans permit significant flexibility in specifying the occurrence time of events. Plan execution can make good use of that flexibility. However, the advantage of executio...
Ioannis Tsamardinos, Nicola Muscettola, Paul H. Mo...
GECCO
2004
Springer
14 years 23 days ago
Selection-Insertion Schemes in Genetic Algorithms for the Flexible Ligand Docking Problem
Abstract. In this work we have implemented and analyzed the performance of a new real coded steady-state genetic algorithm (SSGA) for the flexible ligand-receptor docking problem....
Camila S. de Magalhães, Helio J. C. Barbosa...
SGAI
2009
Springer
14 years 1 months ago
An Interval Type-2 Fuzzy Multiple Echelon Supply Chain Model
Planning resources for a supply chain is a major factor determining its success or failure. In this paper we build on previous work introducing an Interval Type-2 Fuzzy Logic mode...
Simon Miller, Robert John
IICAI
2003
13 years 8 months ago
The Acyclic Bayesian Net Generator
Abstract. We present the Acyclic Bayesian Net Generator, a new approach to learn the structure of a Bayesian network using genetic algorithms. Due to the encoding mechanism, acycli...
Pankaj B. Gupta, Vicki H. Allan