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» Optimal Elevator Group Control by Evolution Strategies
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GECCO
2008
Springer
124views Optimization» more  GECCO 2008»
13 years 9 months ago
Aiming for a theoretically tractable CSA variant by means of empirical investigations
Evolution Strategies (ES) for black-box optimization of a function f : Rn → R are investigated. Namely, we consider the cumulative step-size adaptation (CSA) for the variance of...
Jens Jägersküpper, Mike Preuss
GECCO
2007
Springer
326views Optimization» more  GECCO 2007»
14 years 2 months ago
Binary differential evolution for the unit commitment problem
The Unit Commitment Problem (UCP) is the task of finding an optimal turn on and turn off schedule for a group of power generation units over a given time horizon to minimize ope...
Ali Keles
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
14 years 2 months ago
Differential evolution and non-separability: using selective pressure to focus search
Recent results show that the Differential Evolution algorithm has significant difficulty on functions that are not linearly separable. On such functions, the algorithm must rely...
Andrew M. Sutton, Monte Lunacek, L. Darrell Whitle...
ASC
2004
13 years 8 months ago
Solving nonconvex climate control problems: pitfalls and algorithm performances
Global optimization can be used as the main component for reliable decision support systems. In this contribution, we explore numerical solution techniques for nonconvex and nondi...
Carmen G. Moles, Julio R. Banga, Klaus Keller
GECCO
2010
Springer
183views Optimization» more  GECCO 2010»
14 years 1 months ago
Neuroevolution of mobile ad hoc networks
This paper describes a study of the evolution of distributed behavior, specifically the control of agents in a mobile ad hoc network, using neuroevolution. In neuroevolution, a p...
David B. Knoester, Heather Goldsby, Philip K. McKi...