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» Hybrid Optimizations: Which Optimization Algorithm to Use
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GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
15 years 5 months ago
Parsimonious regularization using genetic algorithms applied to the analysis of analytical ultracentrifugation experiments
Frequently in the physical sciences experimental data are analyzed to determine model parameters using techniques known as parameter estimation. Eliminating the effects of noise ...
Emre H. Brookes, Borries Demeler
NICSO
2010
Springer
15 years 8 months ago
Accelerated Genetic Algorithms with Markov Chains
t] Based on the mutation matrix formalism and past statistics of genetic algorithm, a Markov Chain transition probability matrix is introduced to provide a guided search for comple...
Guan Wang, Chen Chen, Kwok Yip Szeto
HEURISTICS
2002
146views more  HEURISTICS 2002»
15 years 3 months ago
Using Constraint-Based Operators to Solve the Vehicle Routing Problem with Time Windows
This paper presents operators searching large neighborhoods in order to solve the vehicle routing problem. They make use of the pruning and propagation techniques of constraint pr...
Louis-Martin Rousseau, Michel Gendreau, Gilles Pes...
HYBRID
2004
Springer
15 years 9 months ago
The Hybrid Guaranteed Capture Basin Algorithm in Economics
Reaching a target while remaining in a given set for impulse dynamics can be characterized by a non deterministic controlled differential equation and a controlled instantaneous r...
Noël Bonneuil, Patrick Saint-Pierre
GECCO
2008
Springer
158views Optimization» more  GECCO 2008»
15 years 5 months ago
Convergence analysis of quantum-inspired genetic algorithms with the population of a single individual
In this paper, the Quantum-inspired Genetic Algorithms with the population of a single individual are formalized by a Markov chain model using a single and the stored best individ...
Mehrshad Khosraviani, Saadat Pour-Mozafari, Mohamm...