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» An evolutionary method for complex-process optimization
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GPEM
2008
98views more  GPEM 2008»
15 years 15 days ago
Sporadic model building for efficiency enhancement of the hierarchical BOA
Efficiency enhancement techniques--such as parallelization and hybridization--are among the most important ingredients of practical applications of genetic and evolutionary algori...
Martin Pelikan, Kumara Sastry, David E. Goldberg
CPM
1993
Springer
154views Combinatorics» more  CPM 1993»
15 years 4 months ago
On Suboptimal Alignments of Biological Sequences
It is widely accepted that the optimal alignment between a pair of proteins or nucleic acid sequences that minimizes the edit distance may not necessarily re ect the correct biolog...
Dalit Naor, Douglas L. Brutlag
105
Voted
GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
15 years 6 months ago
Methodology to select solutions from the pareto-optimal set: a comparative study
The resolution of a Multi-Objective Optimization Problem (MOOP) does not end when the Pareto-optimal set is found. In real problems, a single solution must be selected. Ideally, t...
José C. Ferreira, Carlos M. Fonseca, Ant&oa...
GECCO
2006
Springer
154views Optimization» more  GECCO 2006»
15 years 4 months ago
Emergent mating topologies in spatially structured genetic algorithms
The application of network analysis to emergent mating topologies in spatially structured genetic algorithms is presented in this preliminary study as a framework for inferring ev...
Joshua L. Payne, Margaret J. Eppstein
136
Voted
GECCO
2010
Springer
244views Optimization» more  GECCO 2010»
15 years 19 days ago
Implicit fitness and heterogeneous preferences in the genetic algorithm
This paper takes an economic approach to derive an evolutionary learning model based entirely on the endogenous employment of genetic operators in the service of self-interested a...
Justin T. H. Smith