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152
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GECCO
2008
Springer
182views Optimization» more  GECCO 2008»
15 years 4 months ago
Scaling ant colony optimization with hierarchical reinforcement learning partitioning
This paper merges hierarchical reinforcement learning (HRL) with ant colony optimization (ACO) to produce a HRL ACO algorithm capable of generating solutions for large domains. Th...
Erik J. Dries, Gilbert L. Peterson
160
Voted
MONET
2002
155views more  MONET 2002»
15 years 3 months ago
A Prioritized Real-Time Wireless Call Degradation Framework for Optimal Call Mix Selection
This paper describes a framework for selecting the optimal call mix to be admitted while employing a bandwidth degradation policy in a wireless cellular network. The optimal proper...
Gergely V. Záruba, Imrich Chlamtac, Sajal K...
IOR
2010
128views more  IOR 2010»
15 years 26 days ago
Dynamic Assortment Optimization with a Multinomial Logit Choice Model and Capacity Constraint
The paper considers a stylized model of a dynamic assortment optimization problem, where given a limited capacity constraint, we must decide the assortment of products to offer to...
Paat Rusmevichientong, Zuo-Jun Max Shen, David B. ...
129
Voted
GECCO
2007
Springer
235views Optimization» more  GECCO 2007»
15 years 9 months ago
Expensive optimization, uncertain environment: an EA-based solution
Real life optimization problems often require finding optimal solution to complex high dimensional, multimodal problems involving computationally very expensive fitness function e...
Maumita Bhattacharya
122
Voted
HPCC
2007
Springer
15 years 9 months ago
Optimizing Array Accesses in High Productivity Languages
One of the outcomes of DARPA’s HPCS program has been the creation of three new high productivity languages: Chapel, Fortress, and X10. While these languages have introduced impro...
Mackale Joyner, Zoran Budimlic, Vivek Sarkar