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» Geometric Duality in Multiple Objective Linear Programming
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GECCO
2005
Springer
138views Optimization» more  GECCO 2005»
14 years 1 months ago
Artificial immune system for solving generalized geometric problems: a preliminary results
Generalized geometric programming (GGP) is an optimization method in which the objective function and constraints are nonconvex functions. Thus, a GGP problem includes multiple lo...
Jui-Yu Wu, Yun-Kung Chung
CISS
2008
IEEE
14 years 2 months ago
A linear integer programming approach to analyze P2P media streaming
Recent advancement in peer-to-peer (P2P) technologies has enabled a wide range of new applications. In this paper, we present mixed integer programming (MIP) formulations to analy...
Fulu Li, Jianwei Huang, Andrew Lippman
COR
2002
90views more  COR 2002»
13 years 7 months ago
Extremist vs. centrist decision behavior: quasi-convex utility functions for interactive multi-objective linear programming prob
This paper presents the fundamental theory and algorithms for identifying the most preferred alternative for a decision maker (DM) having a non-centrist (or extremist) preferentia...
Behnam Malakooti, Jumah E. Al-alwani
DAC
2005
ACM
13 years 9 months ago
Total power reduction in CMOS circuits via gate sizing and multiple threshold voltages
Minimizing power consumption is one of the most important objectives in IC design. Resizing gates and assigning different Vt’s are common ways to meet power and timing budgets. ...
Feng Gao, John P. Hayes
SIAMSC
2010
120views more  SIAMSC 2010»
13 years 6 months ago
Simultaneously Sparse Solutions to Linear Inverse Problems with Multiple System Matrices and a Single Observation Vector
Abstract. A problem that arises in slice-selective magnetic resonance imaging (MRI) radiofrequency (RF) excitation pulse design is abstracted as a novel linear inverse problem with...
Adam C. Zelinski, Vivek K. Goyal, Elfar Adalsteins...