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CP
2011
Springer
13 years 11 months ago
Pruning Rules for Constrained Optimisation for Conditional Preferences
A depth-first search algorithm can be used to find optimal solutions of a Constraint Satisfaction Problem (CSP) with respect to a set of conditional preferences statements (e.g.,...
Nic Wilson, Walid Trabelsi
WSC
2007
15 years 2 months ago
Stochastic trust region gradient-free method (strong): a new response-surface-based algorithm in simulation optimization
Response Surface Methodology (RSM) is a metamodelbased optimization method. Its strategy is to explore small subregions of the parameter space in succession instead of attempting ...
Kuo-Hao Chang, L. Jeff Hong, Hong Wan
CP
2009
Springer
16 years 12 days ago
From Model-Checking to Temporal Logic Constraint Solving
Abstract. In this paper, we show how model-checking can be generalized to temporal logic constraint solving, by considering temporal logic formulae with free variables over some do...
Aurélien Rizk, François Fages
92
Voted
AIEDAM
1998
87views more  AIEDAM 1998»
14 years 11 months ago
Learning to set up numerical optimizations of engineering designs
Gradient-based numerical optimization of complex engineering designs offers the promise of rapidly producing better designs. However, such methods generally assume that the object...
Mark Schwabacher, Thomas Ellman, Haym Hirsh
GECCO
2011
Springer
261views Optimization» more  GECCO 2011»
14 years 3 months ago
Spacing memetic algorithms
We introduce the Spacing Memetic Algorithm (SMA), a formal evolutionary model devoted to a systematic control of spacing (distances) among individuals. SMA uses search space dista...
Daniel Cosmin Porumbel, Jin-Kao Hao, Pascale Kuntz