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GECCO
2005
Springer
138views Optimization» more  GECCO 2005»
15 years 5 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
GECCO
2010
Springer
189views Optimization» more  GECCO 2010»
15 years 4 months ago
Knowledge mining with genetic programming methods for variable selection in flavor design
This paper presents a novel approach for knowledge mining from a sparse and repeated measures dataset. Genetic programming based symbolic regression is employed to generate multip...
Katya Vladislavleva, Kalyan Veeramachaneni, Matt B...
HAIS
2009
Springer
15 years 4 months ago
Pareto-Based Multi-output Model Type Selection
In engineering design the use of approximation models (= surrogate models) has become standard practice for design space exploration, sensitivity analysis, visualization and optimi...
Dirk Gorissen, Ivo Couckuyt, Karel Crombecq, Tom D...
GLVLSI
2009
IEEE
142views VLSI» more  GLVLSI 2009»
15 years 3 months ago
Design tools for emerging technologies
The rapidly expanding diversity of technology available at the nanoscale is disrupting the existing transistorcentric microelectronics design paradigm, resulting in nearly decade-l...
Jacob White
GECCO
2006
Springer
205views Optimization» more  GECCO 2006»
15 years 3 months ago
Alternative evolutionary algorithms for evolving programs: evolution strategies and steady state GP
In contrast with the diverse array of genetic algorithms, the Genetic Programming (GP) paradigm is usually applied in a relatively uniform manner. Heuristics have developed over t...
L. Darrell Whitley, Marc D. Richards, J. Ross Beve...