scholarly journals Generic Pareto local search metaheuristic for optimization of targeted offers in a bi-objective direct marketing campaign

2017 ◽  
Vol 78 ◽  
pp. 578-587 ◽  
Author(s):  
Vitor N. Coelho ◽  
Thays A. Oliveira ◽  
Igor M. Coelho ◽  
Bruno N. Coelho ◽  
Peter J. Fleming ◽  
...  
Keyword(s):  
Local Search ◽  
Direct Marketing ◽  
Marketing Campaign ◽  
Pareto Local Search

scholarly journals Queued Pareto Local Search for Multi-Objective Optimization

2014 ◽  
pp. 589-599 ◽  
Author(s):  
Maarten Inja ◽  
Chiel Kooijman ◽  
Maarten de Waard ◽  
Diederik M. Roijers ◽  
Shimon Whiteson
Keyword(s):  
Local Search ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Pareto Local Search

scholarly journals PPLS/D: Parallel Pareto Local Search Based on Decomposition

2020 ◽  
Vol 50 (3) ◽  
pp. 1060-1071 ◽  
Author(s):  
Jialong Shi ◽  
Qingfu Zhang ◽  
Jianyong Sun
Keyword(s):  
Local Search ◽  
Pareto Local Search

Modeling the Response Pattern to Direct Marketing Campaigns

1995 ◽  
Vol 32 (2) ◽  
pp. 204-212 ◽  
Author(s):  
Amiya K. Basu ◽  
Atasi Basu ◽  
Rajeev Batra
Keyword(s):  
Maximum Likelihood ◽  
Response Pattern ◽  
Direct Marketing ◽  
New Model ◽  
Marketing Campaign ◽  
Response Data ◽  
Mail Surveys ◽  
Early Return ◽  
Maximum Likelihood Procedure ◽  
Proposed Model

The authors propose a new model of response pattern to a direct marketing campaign. They estimate their model and four competing model forms using a new maximum likelihood procedure for response data from four different campaigns. Their proposed model fits the data very well. The authors then offer a method to use the model to estimate the eventual number of responses to a campaign using early return data and knowledge of past campaigns. Finally, the authors suggest an application to predicting returns to mail surveys.

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