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135
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GECCO
2007
Springer
135views Optimization» more  GECCO 2007»
15 years 9 months ago
A cumulative evidential stopping criterion for multiobjective optimization evolutionary algorithms
In this work we present a novel and efficient algorithm– independent stopping criterion, called the MGBM criterion, suitable for Multiobjective Optimization Evolutionary Algorit...
Luis Martí, Jesús García, Ant...
117
Voted
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 7 months ago
A general coarse-graining framework for studying simultaneous inter-population constraints induced by evolutionary operations
The use of genotypic populations is necessary for adaptation in Evolutionary Algorithms. We use a technique called form-invariant commutation to study the immediate effect of evol...
Keki M. Burjorjee, Jordan B. Pollack
134
Voted
EUROCAST
2007
Springer
132views Hardware» more  EUROCAST 2007»
15 years 7 months ago
Using Omnidirectional BTS and Different Evolutionary Approaches to Solve the RND Problem
RND (Radio Network Design) is an important problem in mobile telecommunications (for example in mobile/cellular telephony), being also relevant in the rising area of sensor network...
Miguel A. Vega-Rodríguez, Juan Antonio G&oa...
126
Voted
GECCO
2009
Springer
15 years 10 months ago
Dynamic evolutionary optimisation: an analysis of frequency and magnitude of change
In this paper, we rigorously analyse how the magnitude and frequency of change may affect the performance of the algorithm (1+1) EAdyn on a set of artificially designed pseudo-Bo...
Philipp Rohlfshagen, Per Kristian Lehre, Xin Yao
163
Voted
EC
2011
216views ECommerce» more  EC 2011»
14 years 7 months ago
Abandoning Objectives: Evolution Through the Search for Novelty Alone
man and Kenneth O. Stanley (2010). Revising the Evolutionary Computation Abstraction: Minimal Criteria Novelty Search. In: Proceedings of the Genetic and Evolutionary Computation C...
Joel Lehman, Kenneth O. Stanley