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GECCO
2005
Springer
178views Optimization» more  GECCO 2005»
13 years 10 months ago
A co-evolutionary hybrid algorithm for multi-objective optimization of gene regulatory network models
In this paper, the parameters of a genetic network for rice flowering time control have been estimated using a multiobjective genetic algorithm approach. We have modified the rece...
Praveen Koduru, Sanjoy Das, Stephen Welch, Judith ...
LION
2010
Springer
197views Optimization» more  LION 2010»
13 years 8 months ago
Adapting to a Realistic Decision Maker: Experiments towards a Reactive Multi-objective Optimizer
The interactive decision making (IDM) methods exploit the preference information from the decision maker during the optimization task to guide the search towards favourite solution...
Paolo Campigotto, Andrea Passerini
EMO
2009
Springer
219views Optimization» more  EMO 2009»
13 years 12 months ago
An Elitist GRASP Metaheuristic for the Multi-objective Quadratic Assignment Problem
We propose an elitist Greedy Randomized Adaptive Search Procedure (GRASP) metaheuristic algorithm, called mGRASP/MH, for approximating the Pareto-optimal front in the multi-objecti...
Hui Li, Dario Landa Silva
EOR
2006
135views more  EOR 2006»
13 years 5 months ago
Principles of scatter search
Scatter search is an evolutionary method that has been successfully applied to hard optimization problems. The fundamental concepts and principles of the method were first propose...
Rafael Martí, Manuel Laguna, Fred Glover
FCCM
2008
IEEE
162views VLSI» more  FCCM 2008»
13 years 11 months ago
Multiobjective Optimization of FPGA-Based Medical Image Registration
With a multitude of technological innovations, one emerging trend in image processing, and medical image processing, in particular, is custom hardware implementation of computatio...
Omkar Dandekar, William Plishker, Shuvra S. Bhatta...