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GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
14 years 9 days ago
Combining genetic algorithms with squeaky-wheel optimization
The AI optimization algorithm called "Squeaky-Wheel Optimization" (SWO) has proven very effective in a variety of real-world applications. Although the ideas behind SWO ...
Justin Terada, Hoa Vo, David Joslin
CEC
2007
IEEE
14 years 19 days ago
Efficient assembling of genome fragments using genetic algorithm enhanced by heuristic search
Abstract-- Shotgun sequencing is the state-of-the-art to decode genome sequence. However this technique needs a lot of fragments. Combining those fragments correctly requires enorm...
Satoko Kikuchi, Goutam Chakraborty
EOR
2010
87views more  EOR 2010»
13 years 8 months ago
On the system optimum of traffic assignment in M/G/c/c state-dependent queueing networks
-- The classical Wardrop System Optimum (SO) assignment model assumes that the users will cooperate with each other in order to minimize the overall travel costs. The importance of...
Frederico R. B. Cruz, Tom Van Woensel, James MacGr...
IPPS
1998
IEEE
14 years 27 days ago
Meta-heuristics for Circuit Partitioning in Parallel Test Generation
In this communication Simulated Annealing and Genetic Algorithms, are applied to the graph partitioning problem. These techniques mimic processes in statistical mechanics and biol...
Consolación Gil, Julio Ortega, Antonio F. D...
AIR
2004
130views more  AIR 2004»
13 years 8 months ago
A Hybrid Framework for Over-Constrained Generalized
Abstract. In this work we study an over-constrained scheduling problem where constraints cannot be relaxed. This problem originates from a local defense agency where activities to ...
Andrew Lim, Brian Rodrigues, Ramesh Thangarajo, Fe...