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GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
15 years 9 months ago
Parameterized versus generative representations in structural design: an empirical comparison
Any computational approach to design, including the use of evolutionary algorithms, requires the transformation of the domain-specific knowledge into a formal design representatio...
Rafal Kicinger, Tomasz Arciszewski, Kenneth A. De ...
155
Voted
CEC
2009
IEEE
15 years 10 months ago
Evolving modular neural-networks through exaptation
— Despite their success as optimization methods, evolutionary algorithms face many difficulties to design artifacts with complex structures. According to paleontologists, living...
Jean-Baptiste Mouret, Stéphane Doncieux
EUROGP
2009
Springer
125views Optimization» more  EUROGP 2009»
15 years 10 months ago
The Role of Population Size in Rate of Evolution in Genetic Programming
Abstract. Population size is a critical parameter that affects the performance of an Evolutionary Computation model. A variable population size scheme is considered potentially be...
Ting Hu, Wolfgang Banzhaf
89
Voted
CEC
2007
IEEE
15 years 9 months ago
Indicator-based multi-objective local search
— This paper presents a simple and generic indicator-based multi-objective local search. This algorithm is a direct extension of the IBEA algorithm, an indicatorbased evolutionar...
Matthieu Basseur, Edmund K. Burke
89
Voted
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
15 years 9 months 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