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GECCO
2006
Springer
192views Optimization» more  GECCO 2006»
14 years 26 days ago
Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms
This paper presents a methodology for using heuristic search methods to optimise cancer chemotherapy. Specifically, two evolutionary algorithms - Population Based Incremental Lear...
Andrei Petrovski, Siddhartha Shakya, John A. W. Mc...
ICNC
2005
Springer
14 years 2 months ago
A Multi-cluster Grid Enabled Evolution Framework for Aerodynamic Airfoil Design Optimization
Advances in grid computing have recently sparkled the research and development of Grid problem solving environments for complex design. Parallelism in the form of distributed compu...
Hee-Khiang Ng, Dudy Lim, Yew-Soon Ong, Bu-Sung Lee...
TEC
2002
120views more  TEC 2002»
13 years 8 months ago
Optimization based on bacterial chemotaxis
We present an optimization algorithm based on a model of bacterial chemotaxis. The original biological model is used to formulate a simple optimization algorithm, which is evaluate...
Sibylle D. Müller, Jarno Marchetto, Stefano A...
ICIP
2009
IEEE
14 years 10 months ago
Improved Global Cardiac Tractography With Simulated Annealing
We propose a new fibre tracking algorithm for cardiac DTMRI that parts with the locally "greedy" paradigm intrinsic to conventional tracking algorithms. We formulate the...
GECCO
2008
Springer
163views Optimization» more  GECCO 2008»
13 years 10 months ago
Embedded evolutionary multi-objective optimization for worst case robustness
In Multi-Objective Problems (MOPs) involving uncertainty, each solution might be associated with a cluster of performances in the objective space depending on the possible scenari...
Gideon Avigad, Jürgen Branke