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» Solving Hierarchical Optimization Problems Using MOEAs
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WSC
2008
15 years 5 months ago
Nonlinear process modeling and optimization based on Multiway Kernel Partial Least Squares model
MKPLS (Multiway Kernel Partial Least Squares) methods are used to model the batch processes from process operational data. To improve the optimization performance, a batch-to-batc...
Liqing Di, Zhihua Xiong, XianHui Yang
WSC
2007
15 years 5 months ago
Stochastic trust region gradient-free method (strong): a new response-surface-based algorithm in simulation optimization
Response Surface Methodology (RSM) is a metamodelbased optimization method. Its strategy is to explore small subregions of the parameter space in succession instead of attempting ...
Kuo-Hao Chang, L. Jeff Hong, Hong Wan
130
Voted
GECCO
2008
Springer
124views Optimization» more  GECCO 2008»
15 years 4 months ago
Introducing MONEDA: scalable multiobjective optimization with a neural estimation of distribution algorithm
In this paper we explore the model–building issue of multiobjective optimization estimation of distribution algorithms. We argue that model–building has some characteristics t...
Luis Martí, Jesús García, Ant...
134
Voted
TWC
2008
121views more  TWC 2008»
15 years 3 months ago
Optimal Downlink OFDMA Resource Allocation with Linear Complexity to Maximize Ergodic Rates
OFDMA resource allocation assigns subcarriers and power, and possibly data rates, to each user. Previous research efforts to optimize OFDMA resource allocation with respect to comm...
Ian C. Wong, Brian L. Evans
157
Voted
GECCO
2007
Springer
160views Optimization» more  GECCO 2007»
15 years 9 months ago
Hill climbing on discrete HIFF: exploring the role of DNA transposition in long-term artificial evolution
We show how a random mutation hill climber that does multilevel selection utilizes transposition to escape local optima on the discrete Hierarchical-If-And-Only-If (HIFF) problem....
Susan Khor