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GECCO
2008
Springer
182views Optimization» more  GECCO 2008»
15 years 5 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
GECCO
2008
Springer
158views Optimization» more  GECCO 2008»
15 years 5 months ago
Objective reduction using a feature selection technique
This paper introduces two new algorithms to reduce the number of objectives in a multiobjective problem by identifying the most conflicting objectives. The proposed algorithms ar...
Antonio López Jaimes, Carlos A. Coello Coel...
GECCO
2007
Springer
200views Optimization» more  GECCO 2007»
15 years 10 months ago
Adaptive genetic programming for option pricing
Genetic Programming (GP) is an automated computational programming methodology, inspired by the workings of natural evolution techniques. It has been applied to solve complex prob...
Zheng Yin, Anthony Brabazon, Conall O'Sullivan
GECCO
2005
Springer
119views Optimization» more  GECCO 2005»
15 years 10 months ago
Improving GA search reliability using maximal hyper-rectangle analysis
In Genetic algorithms it is not easy to evaluate the confidence level in whether a GA run may have missed a complete area of good points, and whether the global optimum was found....
Chongshan Zhang, Khaled Rasheed

Publication
362views
17 years 3 months ago
A Bayesian Incentive Compatible Mechanism for Decentralized Supply Chain Formation
In this paper, we consider a decentralized supply chain formation problem for linear, multi-echelon supply chains when the managers of the individual echelons are autonomous, ratio...
Y. Narahari and Nikesh Kumar Srivastava