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EVOW
2009
Springer
15 years 8 months ago
Staff Scheduling with Particle Swarm Optimisation and Evolution Strategies
The current paper uses a scenario from logistics to show that modern heuristics, and in particular particle swarm optimization (PSO) can significantly add to the improvement of sta...
Volker Nissen, Maik Günther
ECR
2002
88views more  ECR 2002»
15 years 4 months ago
Web Based Capacity Allocation Strategies for Customers with Heterogeneous Preferences
We study different mechanisms for the pricing and allocation of capacity to customers with heterogeneous and unknown preferences. The mechanisms we study include posting of prices...
Vipul Agrawal, Giuseppe Lopomo, Sridhar Seshadri
CEC
2008
IEEE
15 years 11 months ago
Scalarization versus indicator-based selection in multi-objective CMA evolution strategies
Abstract—While scalarization approaches to multicriteria optimization become infeasible in the case of many objectives, for few objectives the benefits of populationbased method...
Thomas Voß, Nicola Beume, Günter Rudolp...
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
15 years 10 months ago
An experimental analysis of evolution strategies and particle swarm optimisers using design of experiments
The success of evolutionary algorithms (EAs) depends crucially on finding suitable parameter settings. Doing this by hand is a very time consuming job without the guarantee to ...
Oliver Kramer, Bartek Gloger, Andreas Goebels
WSC
2007
15 years 6 months ago
Path-wise estimators and cross-path regressions: an application to evaluating portfolio strategies
Recently developed dual techniques allow us to evaluate a given sub-optimal dynamic portfolio policy by using the policy to construct an upper bound on the optimal value function....
Martin B. Haugh, Ashish Jain