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» Combining genetic algorithms with squeaky-wheel optimization
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ICIC
2007
Springer
14 years 1 months ago
A Hybrid Electromagnetism-Like Algorithm for Single Machine Scheduling Problem
Electromagnetism-like algorithm (EM) is a population-based meta-heuristic which has been proposed to solve continuous problems effectively. In this paper, we present a new meta-h...
Shih-Hsin Chen, Pei-Chann Chang, Chien-Lung Chan, ...
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
14 years 1 months ago
Interactive evolution of XUL user interfaces
We attack the problem of user fatigue by using an interactive genetic algorithm to evolve user interfaces in the XUL interface definition language. The interactive genetic algori...
Juan C. Quiroz, Sushil J. Louis, Sergiu M. Dascalu
GECCO
2004
Springer
103views Optimization» more  GECCO 2004»
14 years 1 months ago
Training Neural Networks with GA Hybrid Algorithms
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
Enrique Alba, J. Francisco Chicano
TEC
2008
139views more  TEC 2008»
13 years 7 months ago
Genetic Programming Approaches for Solving Elliptic Partial Differential Equations
In this paper, we propose a technique based on genetic programming (GP) for meshfree solution of elliptic partial differential equations. We employ the least-squares collocation pr...
Andras Sobester, Prasanth B. Nair, Andy J. Keane
PDPTA
2007
13 years 9 months ago
Brokering Algorithms for Composing Low Cost Distributed Storage Resources
Abstract In this paper we investigate the composition of cheap network storage resources to meet specific availability and capacity requirements. We show that the problem of find...
Jimmy Secretan, Malachi Lawson, Ladislau Böl&...