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CSC
2008
13 years 8 months ago
Multilevel Approaches applied to the Capacitated Clustering Problem
- This paper presents two multilevel refinement algorithms for the capacitated clustering problem. Multilevel refinement is a collaborative technique capable of significantly aidin...
Demane Rodney, Alan Soper, Chris Walshaw
GECCO
2004
Springer
128views Optimization» more  GECCO 2004»
14 years 23 days ago
An Informed Operator Based Genetic Algorithm for Tuning the Reaction Rate Parameters of Chemical Kinetics Mechanisms
A reduced model technique based on a reduced number of numerical simulations at a subset of operating conditions for a perfectly stirred reactor is developed in order to increase t...
Lionel Elliott, Derek B. Ingham, Adrian G. Kyne, N...
GECCO
2006
Springer
164views Optimization» more  GECCO 2006»
13 years 11 months ago
A fast hybrid genetic algorithm for the quadratic assignment problem
Genetic algorithms (GAs) have recently become very popular by solving combinatorial optimization problems. In this paper, we propose an extension of the hybrid genetic algorithm f...
Alfonsas Misevicius
AUSAI
2004
Springer
14 years 23 days ago
An ACO Algorithm for the Most Probable Explanation Problem
We describe an Ant Colony Optimization (ACO) algorithm, ANT-MPE, for the most probable explanation problem in Bayesian network inference. After tuning its parameters settings, we c...
Haipeng Guo, Prashanth R. Boddhireddy, William H. ...
GECCO
2005
Springer
228views Optimization» more  GECCO 2005»
14 years 27 days ago
Applying metaheuristic techniques to search the space of bidding strategies in combinatorial auctions
Many non-cooperative settings that could potentially be studied using game theory are characterized by having very large strategy spaces and payoffs that are costly to compute. Be...
Ashish Sureka, Peter R. Wurman