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» Function Optimization with Coevolutionary Algorithms
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93
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WSC
2004
15 years 3 months ago
A New Method to Determine the Tool Count of a Semiconductor Factory Using FabSim
Tool count optimization is mandatory for an efficiently organized semiconductor factory. This paper describes an efficient heuristic to determine the tool count using the compact ...
Holger Vogt
EVOW
2009
Springer
15 years 9 months ago
Dynamic Time-Linkage Problems Revisited
Dynamic time-linkage problems (DTPs) are common types of dynamic optimization problems where "decisions that are made now ... may in‡uence the maximum score that can be obta...
Trung Thanh Nguyen, Xin Yao
EMO
2009
Springer
159views Optimization» more  EMO 2009»
15 years 9 months ago
Recombination for Learning Strategy Parameters in the MO-CMA-ES
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) is a variable-metric algorithm for real-valued vector optimization. It maintains a parent population...
Thomas Voß, Nikolaus Hansen, Christian Igel
95
Voted
GECCO
2004
Springer
118views Optimization» more  GECCO 2004»
15 years 7 months ago
Adaptive Sampling for Noisy Problems
Abstract. The usual approach to deal with noise present in many realworld optimization problems is to take an arbitrary number of samples of the objective function and use the samp...
Erick Cantú-Paz
168
Voted
GECCO
2003
Springer
415views Optimization» more  GECCO 2003»
15 years 7 months ago
Evolutionary Algorithms for Two Problems from the Calculus of Variations
Abstract. A brachistochrone is the path along which a weighted particle falls most quickly from one point to another, and a catenary is the smooth curve connecting two points whose...
Bryant A. Julstrom