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GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 3 months ago
Multi-chromosomal genetic programming
This paper introduces an evolutionary algorithm which uses multiple chromosomes to evolve solutions to a symbolic regression problem. Inspiration for this algorithm is provided by...
Rachel Cavill, Stephen L. Smith, Andrew M. Tyrrell
GECCO
2003
Springer
160views Optimization» more  GECCO 2003»
15 years 2 months ago
Hybridization of Estimation of Distribution Algorithms with a Repair Method for Solving Constraint Satisfaction Problems
Estimation of Distribution Algorithms (EDAs) are new promising methods in the field of genetic and evolutionary algorithms. In the case of conventional Genetic and Evolutionary Al...
Hisashi Handa
59
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GECCO
2008
Springer
110views Optimization» more  GECCO 2008»
14 years 10 months ago
Discovering causes of financial distress by combining evolutionary algorithms and artificial neural networks
Antonio Mora García, Pedro A. Castillo Vald...
ISICA
2007
Springer
15 years 3 months ago
A New Evolutionary Decision Theory for Many-Objective Optimization Problems
In this paper the authors point out that the Pareto Optimality is unfair, unreasonable and imperfect for Many-objective Optimization Problems (MOPs) underlying the hypothesis that ...
Zhuo Kang, Lishan Kang, Xiufen Zou, Minzhong Liu, ...
GECCO
2010
Springer
254views Optimization» more  GECCO 2010»
15 years 2 months ago
Evolutionary multi-objective optimization and decision making for selective laser sintering
This paper proposes an integrated approach to arrive at optimal build orientations, simultaneously minimizing surface roughness ‘Ra’ and build time ‘T’, for object manufac...
Nikhil Padhye, Kalyanmoy Deb