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» Memory Design for Constrained Dynamic Optimization Problems
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ICMCS
2006
IEEE
105views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Entropy and Memory Constrained Vector Quantization with Separability Based Feature Selection
An iterative model selection algorithm is proposed. The algorithm seeks relevant features and an optimal number of codewords (or codebook size) as part of the optimization. We use...
Sangho Yoon, Robert M. Gray
NETWORKS
2008
14 years 9 months ago
New dynamic programming algorithms for the resource constrained elementary shortest path problem
The resource-constrained elementary shortest path problem arises as a pricing subproblem in branch-and-price algorithms for vehicle routing problems with additional constraints. W...
Giovanni Righini, Matteo Salani
GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
14 years 10 months ago
Solving constrained multi-objective problems by objective space analysis
In this paper a new approach to solve constrained multi-objective problems by way of evolutionary multi-objective optimization is introduced. In contrast to former evolutionary ap...
Gideon Avigad, Carlos A. Coello Coello
HYBRID
2010
Springer
15 years 4 months ago
A descent algorithm for the optimal control of constrained nonlinear switched dynamical systems
One of the oldest problems in the study of dynamical systems is the calculation of an optimal control. Though the determination of a numerical solution for the general nonconvex o...
Humberto González, Ramanarayan Vasudevan, M...
NECO
1998
171views more  NECO 1998»
14 years 9 months ago
Constrained Optimization for Neural Map Formation: A Unifying Framework for Weight Growth and Normalization
three different levels of abstraction: detailed models including ctivity dynamics, weight dynamics that abstract from the neural activity dynamics by an adiabatic approximation, an...
Laurenz Wiskott, Terrence J. Sejnowski