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» Solving Demodulation as an Optimization Problem
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137
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GECCO
2008
Springer
120views Optimization» more  GECCO 2008»
15 years 3 months ago
A robust evolutionary framework for multi-objective optimization
Evolutionary multi-objective optimization (EMO) methodologies, suggested in the beginning of Nineties, focussed on the task of finding a set of well-converged and well-distribute...
Kalyanmoy Deb
144
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TEC
2010
193views more  TEC 2010»
14 years 9 months ago
Chemical-Reaction-Inspired Metaheuristic for Optimization
-- We encounter optimization problems in our daily lives and in various research domains. Some of them are so hard that we can, at best, approximate the best solutions with (meta-)...
Albert Y. S. Lam, Victor O. K. Li
131
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AISB
1995
Springer
15 years 6 months ago
An Evolutionary Algorithm for Parametric Array Signal Processing
This paper presents an evolutionary algorithm for solving parameter optimization problems in parametric array signal processing. The method utilises the niche concept to maintain a...
Dekun Yang, Stuart J. Flockton
241
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Publication
2630views
17 years 1 months ago
DIJKSTRA’S and Fast Marching Method for Optimal Path Planning
This technical report illustrates the differences in solving the optimal path problem (shortest path) using different methods, where the underlying PDE can be described by the eik...
RYO TAKEI
108
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GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
15 years 6 months ago
Comparison of multi-objective evolutionary algorithms in optimizing combinations of reinsurance contracts
Our paper concerns optimal combinations of different types of reinsurance contracts. We introduce a novel approach based on the Mean-Variance-Criterion to solve this task. Two sta...
Ingo Oesterreicher, Andreas Mitschele, Frank Schlo...