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AIPS
2006
13 years 8 months ago
Automated Planning Using Quantum Computation
This paper presents an adaptation of the standard quantum search technique to enable application within Dynamic Programming, in order to optimise a Markov Decision Process. This i...
Sanjeev Naguleswaran, Langford B. White, I. Fuss
GECCO
2004
Springer
103views Optimization» more  GECCO 2004»
14 years 24 days 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
PATAT
1995
Springer
122views Education» more  PATAT 1995»
13 years 11 months ago
A Memetic Algorithm for University Exam Timetabling
The scheduling of exams in institutions of higher education is known to be a highly constrained problem. The advent of modularity in many institutions in the UK has resulted in a s...
Edmund K. Burke, James P. Newall, Rupert F. Weare
ANOR
2010
102views more  ANOR 2010»
13 years 7 months ago
Ejection chain and filter-and-fan methods in combinatorial optimization
The design of effective neighborhood structures is fundamentally important for creating better local search and metaheuristic algorithms for combinatorial optimization. Significant...
César Rego, Fred Glover
BMCBI
2007
143views more  BMCBI 2007»
13 years 7 months ago
An adaptive bin framework search method for a beta-sheet protein homopolymer model
Background: The problem of protein structure prediction consists of predicting the functional or native structure of a protein given its linear sequence of amino acids. This probl...
Alena Shmygelska, Holger H. Hoos