Sciweavers

3165 search results - page 12 / 633
» Introduction to genetic algorithms
Sort
View
ILP
2000
Springer
15 years 1 months ago
Searching the Subsumption Lattice by a Genetic Algorithm
A framework for combining Genetic Algorithms with ILP methods is introduced and a novel binary representation and relevant genetic operators are discussed. It is shown that the pro...
Alireza Tamaddoni-Nezhad, Stephen Muggleton
IPPS
1998
IEEE
15 years 1 months ago
A Parallel Evolutionary Algorithm for the Vehicle Routing Problem with Heterogeneous Fleet
Abstract. Nowadays genetic algorithms stand as a trend to solve NPcomplete and NP-hard problems. In this paper, we present a new hybrid metaheuristic which uses Parallel Genetic Al...
Luiz Satoru Ochi, Dalessandro Soares Vianna, L&uac...
FOGA
1994
14 years 11 months ago
Predictive Models Using Fitness Distributions of Genetic Operators
An important goal of the theory of genetic algorithms is to build predictive models of how well genetic algorithms are expected to perform, given a representation, a fitness lands...
John J. Grefenstette
73
Voted
ICML
1995
IEEE
15 years 10 months ago
Removing the Genetics from the Standard Genetic Algorithm
Shumeet Baluja, Rich Caruana
EC
2002
228views ECommerce» more  EC 2002»
14 years 9 months ago
Improved Sampling of the Pareto-Front in Multiobjective Genetic Optimizations by Steady-State Evolution: A Pareto Converging Gen
Previous work on multiobjective genetic algorithms has been focused on preventing genetic drift and the issue of convergence has been given little attention. In this paper, we pre...
Rajeev Kumar, Peter Rockett