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CEC
2007
IEEE
14 years 3 days ago
SAT-decoding in evolutionary algorithms for discrete constrained optimization problems
— For complex optimization problems, several population-based heuristics like Multi-Objective Evolutionary Algorithms have been developed. These algorithms are aiming to deliver ...
Martin Lukasiewycz, Michael Glaß, Christian ...
ISCAS
2005
IEEE
114views Hardware» more  ISCAS 2005»
13 years 11 months ago
Structured stochastic optimization strategies for problems with ill-conditioned error surfaces
—This paper compares the performance of several structured optimization strategies in adaptive signal processing problems that are characterized by ill-conditioned error surfaces...
S. Pal, Dean J. Krusienski, W. Kenneth Jenkins
GECCO
2010
Springer
172views Optimization» more  GECCO 2010»
13 years 10 months ago
Biogeography-based optimization with blended migration for constrained optimization problems
Biogeography-based optimization (BBO) is a new evolutionary algorithm based on the science of biogeography. We propose two extensions to BBO. First, we propose blended migration. ...
Haiping Ma, Dan Simon
KR
1989
Springer
13 years 9 months ago
Situated Control Rules
In this work we extend the work of Dean, Kaelbling, Kirman and Nicholson on planning under time constraints in stochastic domains to handle more complicated scheduling problems. I...
Mark Drummond
GECCO
2003
Springer
107views Optimization» more  GECCO 2003»
13 years 11 months ago
Exploration of a Two Sided Rendezvous Search Problem Using Genetic Algorithms
The problem of searching for a walker that wants to be found, when the walker moves toward the helicopter when it can hear it, is an example of a two sided search problem which is ...
T. Q. S. Truong, A. Stacey