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UPP
2004
Springer
16 years 16 hour ago
Inverse Design of Cellular Automata by Genetic Algorithms: An Unconventional Programming Paradigm
Evolving solutions rather than computing them certainly represents an unconventional programming approach. The general methodology of evolutionary computation has already been know...
Thomas Bäck, Ron Breukelaar, Lars Willmes
MP
1998
83views more  MP 1998»
15 years 6 months ago
A modified layered-step interior-point algorithm for linear programming
The layered-step interior-point algorithm was introduced by Vavasis and Ye. The algorithm accelerates the path following interior-point algorithm and its arithmetic complexity dep...
Nimrod Megiddo, Shinji Mizuno, Takashi Tsuchiya
PPSN
1994
Springer
15 years 10 months ago
A Representation Scheme To Perform Program Induction in a Canonical Genetic Algorithm
This paper studies Genetic Programming (GP) and its relation to the Genetic Algorithm (GA). GP uses a GA approach to breed successive populations of programs, represented in the ch...
Mark Wineberg, Franz Oppacher
DISOPT
2008
138views more  DISOPT 2008»
15 years 6 months ago
An algorithmic framework for convex mixed integer nonlinear programs
This paper is motivated by the fact that mixed integer nonlinear programming is an important and difficult area for which there is a need for developing new methods and software f...
Pierre Bonami, Lorenz T. Biegler, Andrew R. Conn, ...
DAC
2006
ACM
16 years 19 days ago
A fast on-chip decoupling capacitance budgeting algorithm using macromodeling and linear programming
We propose a novel and efficient charge-based decoupling capacitance budgeting algorithm. Our method uses the macromodeling technique and effective radius of decoupling capacitan...
Min Zhao, Rajendran Panda, Savithri Sundareswaran,...