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GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
15 years 11 months ago
A multi-objective approach to discover biclusters in microarray data
The main motivation for using a multi–objective evolutionary algorithm for finding biclusters in gene expression data is motivated by the fact that when looking for biclusters ...
Federico Divina, Jesús S. Aguilar-Ruiz
ICES
2000
Springer
91views Hardware» more  ICES 2000»
15 years 8 months ago
Dynamic Optimisation of Non-linear Feed Forward Circuits
Abstract. An evolutionary algorithm is used to evolve a digital circuit which computes a simple hash function mapping a 16-bit address space into an 8-bit one. The target technolog...
Ernesto Damiani, Valentino Liberali, Andrea Tettam...
CEC
2009
IEEE
15 years 12 months ago
A clustering multi-objective evolutionary algorithm based on orthogonal and uniform design
Abstract— Designing efficient algorithms for difficult multiobjective optimization problems is a very challenging problem. In this paper a new clustering multi-objective evolut...
Yuping Wang, Chuangyin Dang, Hecheng Li, Lixia Han...
GECCO
2008
Springer
163views Optimization» more  GECCO 2008»
15 years 6 months ago
Embedded evolutionary multi-objective optimization for worst case robustness
In Multi-Objective Problems (MOPs) involving uncertainty, each solution might be associated with a cluster of performances in the objective space depending on the possible scenari...
Gideon Avigad, Jürgen Branke
ISCAS
2006
IEEE
112views Hardware» more  ISCAS 2006»
15 years 11 months ago
Towards an optimised VLSI design algorithm for the constant matrix multiplication problem
The efficient design of multiplierless implementa- The goal is to find the optimal sub-expressions across all N dot tions of constant matrix multipliers is challenged by the huge p...
Andrew Kinane, Valentin Muresan, Noel E. O'Connor