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» A robust model for finding optimal evolutionary trees
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EMO
2006
Springer
124views Optimization» more  EMO 2006»
15 years 1 months ago
I-MODE: An Interactive Multi-objective Optimization and Decision-Making Using Evolutionary Methods
With the popularity of efficient multi-objective evolutionary optimization (EMO) techniques and the need for such problem-solving activities in practice, EMO methodologies and EMO ...
Kalyanmoy Deb, Shamik Chaudhuri
EVOW
2010
Springer
15 years 4 months ago
Parameter Tuning of Evolutionary Algorithms: Generalist vs. Specialist
Abstract. Finding appropriate parameter values for Evolutionary Algorithms (EAs) is one of the persistent challenges of Evolutionary Computing. In recent publications we showed how...
Selmar K. Smit, A. E. Eiben
87
Voted
GECCO
2004
Springer
137views Optimization» more  GECCO 2004»
15 years 3 months ago
Evolving Better Multiple Sequence Alignments
Aligning multiple DNA or protein sequences is a fundamental step in the analyses of phylogeny, homology and molecular structure. Heuristic algorithms are applied because optimal mu...
Luke Sheneman, James A. Foster
72
Voted
GECCO
2005
Springer
100views Optimization» more  GECCO 2005»
15 years 3 months ago
Evolutionary tree genetic programming
We introduce a clustering-based method of subpopulation management in genetic programming (GP) called Evolutionary Tree Genetic Programming (ETGP). The biological motivation behin...
Ján Antolík, William H. Hsu
GECCO
2005
Springer
103views Optimization» more  GECCO 2005»
15 years 3 months ago
Validation of evolutionary activity metrics for long-term evolutionary dynamics
As artificial life systems grow in number and sophistication, it is becoming increasingly important that the field agree on principled metrics for evaluating them. This report d...
Andrew Stout, Lee Spector