63 citations · 91 across the 6 of their papers we have counts for
6 papers
A hybrid estimation of distribution algorithm for joint stratification and sample allocation
Mervyn O'Luing, Steven Prestwich, S. Armagan Tarim
In this study we propose a hybrid estimation of distribution algorithm (HEDA) to solve the joint stratification and sample allocation problem. This is a complex problem in which ea…
Combining K-means type algorithms with Hill Climbing for Joint Stratification and Sample Allocation Designs
Mervyn O'Luing, Steven Prestwich, S. Armagan Tarim
In this paper we combine the k-means and/or k-means type algorithms with a hill climbing algorithm in stages to solve the joint stratification and sample allocation problem. This i…
A recursion-free functional approximation for the dynamic inventory problem
Onur A. Kilic, S. Armagan Tarim
We consider the dynamic inventory problem with non-stationary demands. It has long been known that non-stationary (s, S) policies are optimal for this problem. However, finding opt…
Declarative Statistics
Roberto Rossi, Özgür Akgün, Steven Prestwich +1
In this work we introduce declarative statistics, a suite of declarative modelling tools for statistical analysis. Statistical constraints represent the key building block of decla…
Scenario-based Stochastic Constraint Programming
Suresh Manandhar, Armagan Tarim, Toby Walsh
To model combinatorial decision problems involving uncertainty and probability, we extend the stochastic constraint programming framework proposed in [Walsh, 2002] along a number o…
Stochastic Constraint Programming: A Scenario-Based Approach
S. Armagan Tarim, Suresh Manandhar, Toby Walsh
To model combinatorial decision problems involving uncertainty and probability, we introduce scenario based stochastic constraint programming. Stochastic constraint programs contai…