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GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
16 years 23 days ago
Action-selection and crossover strategies for self-modeling machines
In previous work [7] a computational framework was demonstrated that employs evolutionary algorithms to automatically model a given system. This is accomplished by alternating the...
Josh C. Bongard
GECCO
2008
Springer
163views Optimization» more  GECCO 2008»
15 years 7 months ago
Embedded evolutionary multi-objective optimization for worst case robustness
In Multi-Objective Problems (MOPs) involving uncertainty, each solution might be associated with a cluster of performances in the objective space depending on the possible scenari...
Gideon Avigad, Jürgen Branke
EVOW
2001
Springer
15 years 11 months ago
ARPIA: A High-Level Evolutionary Test Signal Generator
The integrated circuits design flow is rapidly moving towards higher description levels. However, test-related activities are lacking behind this trend, mainly since effective faul...
Fulvio Corno, Gianluca Cumani, Matteo Sonza Reorda...
EOR
2006
135views more  EOR 2006»
15 years 6 months ago
Principles of scatter search
Scatter search is an evolutionary method that has been successfully applied to hard optimization problems. The fundamental concepts and principles of the method were first propose...
Rafael Martí, Manuel Laguna, Fred Glover
GECCO
2005
Springer
131views Optimization» more  GECCO 2005»
16 years 4 days ago
Evolution of a human-competitive quantum fourier transform algorithm using genetic programming
In this paper, we show how genetic programming (GP) can be used to evolve system-size-independent quantum algorithms, and present a human-competitive Quantum Fourier Transform (QF...
Paul Massey, John A. Clark, Susan Stepney