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» An evolutionary method for complex-process optimization
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78
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CEC
2007
IEEE
15 years 4 months ago
Optimizing low-thrust gravity assist interplanetary trajectories using evolutionary neurocontrollers
The combination of low-thrust propulsion and gravity assists allows designing high-energy missions. However the optimization of such trajectories is no trivial task. In this paper,...
I. Carnelli, B. Dachwald, M. Vasile
GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
15 years 4 months ago
Comparison of multi-objective evolutionary algorithms in optimizing combinations of reinsurance contracts
Our paper concerns optimal combinations of different types of reinsurance contracts. We introduce a novel approach based on the Mean-Variance-Criterion to solve this task. Two sta...
Ingo Oesterreicher, Andreas Mitschele, Frank Schlo...
BIOINFORMATICS
2002
100views more  BIOINFORMATICS 2002»
15 years 7 days ago
Optimal algorithms for local vertex quartet cleaning
Reconstructing evolutionary trees is an important problem in biology. A response to the computational intractability of most of the traditional criteria for inferring evolutionary...
Gianluca Della Vedova, Todd Wareham
110
Voted
CEC
2009
IEEE
15 years 7 months ago
What is situated evolution?
—In this paper we discuss the notion of situated evolution. Our treatment includes positioning situated evolution on the map of evolutionary processes in terms of time- and space...
Martijn C. Schut, Evert Haasdijk, A. E. Eiben
111
Voted
GECCO
2007
Springer
135views Optimization» more  GECCO 2007»
15 years 6 months ago
A cumulative evidential stopping criterion for multiobjective optimization evolutionary algorithms
In this work we present a novel and efficient algorithm– independent stopping criterion, called the MGBM criterion, suitable for Multiobjective Optimization Evolutionary Algorit...
Luis Martí, Jesús García, Ant...