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208
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ESCIENCE
2006
IEEE
16 years 1 months ago
Niching for Population-Based Ant Colony Optimization
Most Ant Colony Optimization (ACO) algorithms are able to find a single (or few) optimal, or near-optimal, solutions to difficult (NP-hard) problems. An issue though is that a s...
Daniel Angus
180
Voted
ICCAD
1997
IEEE
127views Hardware» more  ICCAD 1997»
15 years 11 months ago
OPTIMIST: state minimization for optimal 2-level logic implementation
We present a novel method for state minimization of incompletely-specified finite state machines. Where classic methods simply minimize the number of states, ours directly addre...
Robert M. Fuhrer, Steven M. Nowick
199
Voted
PPSN
1998
Springer
15 years 11 months ago
A Decoder-Based Evolutionary Algorithm for Constrained Parameter Optimization Problems
Several methods have been proposed for handling nonlinear constraints by evolutionary algorithms for numerical optimization problems; a survey paper [7] provides an overview of var...
Slawomir Koziel, Zbigniew Michalewicz
186
Voted
GECCO
2000
Springer
121views Optimization» more  GECCO 2000»
15 years 10 months ago
Informed operators: Speeding up genetic-algorithm-based design optimization using reduced models
In this paper we describe a method for improving genetic-algorithm-based optimization using informed genetic operators. The idea is to make the genetic operators such as mutation ...
Khaled Rasheed, Haym Hirsh
234
Voted
AAAI
1994
15 years 8 months ago
Activity Analysis: The Qualitative Analysis of Stationary Points for Optimal Reasoning
We present a theory of a modeler's problem decomposition skills in the context of optimal reasonzng -- the use of qualitative modeling to strategically guide numerical explor...
Brian C. Williams, Jonathan Cagan