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GECCO
2000
Springer
142views Optimization» more  GECCO 2000»
15 years 5 months ago
Improving EAs for Sequencing Problems
Sequencing problems have to be solved very often in VLSI CAD. To obtain results of high quality, Evolutionary Algorithms (EAs) have been successfully applied in many cases. Howeve...
Wolfgang Günther, Rolf Drechsler
GECCO
2007
Springer
189views Optimization» more  GECCO 2007»
15 years 8 months ago
A more bio-plausible approach to the evolutionary inference of finite state machines
With resemblance of finite-state machines to some biological mechanisms in cells and numerous applications of finite automata in different fields, this paper uses analogies an...
Hooman Shayani, Peter J. Bentley
GECCO
2005
Springer
108views Optimization» more  GECCO 2005»
15 years 7 months ago
Some theoretical results about the computation time of evolutionary algorithms
This paper focuses on the computation time of evolutionary algorithms. First, some exact expressions of the mean first hitting times of general evolutionary algorithms in finite...
Lixin X. Ding, Jinghu Yu
GECCO
2005
Springer
127views Optimization» more  GECCO 2005»
15 years 7 months ago
Evolutionary form-finding of tensegrity structures
Tensegrity structures are stable 3-dimensional mechanical structures which maintain their form due to an intricate balance of forces between disjoint rigid elements and continuous...
Chandana Paul, Hod Lipson, Francisco J. Valero Cue...
EOR
2007
77views more  EOR 2007»
15 years 1 months ago
Solving the short-term electrical generation scheduling problem by an adaptive evolutionary approach
In this paper, we introduce an adaptive evolutionary approach to solve the short-term electrical generation scheduling problem (STEGS). The STEGS is a hard constraint satisfaction...
Jorge Maturana, María-Cristina Riff