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GECCO
2007
Springer
161views Optimization» more  GECCO 2007»
15 years 10 months ago
On solving hierarchical problems with top down control
We review recent work on the Hierarchical-If-And-Only-If problem and present a new hierarchical problem, HIFF-M that does not fit with previous explanations for evolutionary diffi...
Susan Khor
118
Voted
AUTOMATICA
1999
84views more  AUTOMATICA 1999»
15 years 3 months ago
Optimizing the receiver maneuvers for bearings-only tracking
This paper deals with the optimization of the observer trajectory for target motion analysis. The observations are made of estimated bearings. The problem consists in determining ...
Jean-Pierre Le Cadre, S. Laurent-Michel
SIAMCO
2010
124views more  SIAMCO 2010»
14 years 10 months ago
Reachability and Minimal Times for State Constrained Nonlinear Problems without Any Controllability Assumption
We consider a target problem for a nonlinear system under state constraints. We give a new continuous level-set approach for characterizing the optimal times and the backward-reach...
Olivier Bokanowski, Nicolas Forcadel, Hasnaa Zidan...
130
Voted
MOBIHOC
2002
ACM
16 years 3 months ago
Algorithmic aspects of topology control problems for ad hoc networks
Topology control problems are concerned with the assignment of power values to the nodes of an ad hoc network so that the power assignment leads to a graph topology satisfying som...
Errol L. Lloyd, Rui Liu, Madhav V. Marathe, Ram Ra...
GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
15 years 9 months ago
Evolving neural network ensembles for control problems
In neuroevolution, a genetic algorithm is used to evolve a neural network to perform a particular task. The standard approach is to evolve a population over a number of generation...
David Pardoe, Michael S. Ryoo, Risto Miikkulainen