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GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
14 years 4 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»
14 years 1 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
14 years 4 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»
13 years 11 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»
14 years 3 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