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GECCO
2004
Springer
103views Optimization» more  GECCO 2004»
14 years 26 days ago
Robot Trajectory Planning Using Multi-objective Genetic Algorithm Optimization
Generating manipulator trajectories considering multiple objectives and obstacle avoidance is a non trivial optimization problem. In this paper a multiobjective genetic algorithm i...
Eduardo José Solteiro Pires, José An...
GECCO
2008
Springer
168views Optimization» more  GECCO 2008»
13 years 8 months ago
Speed-up techniques for solving large-scale bTSP with the Two-Phase Pareto Local Search
We first present a method, called Two-Phase Pareto Local Search, to find a good approximation of the efficient set of the biobjective traveling salesman problem. In the first p...
Thibaut Lust
ISVLSI
2007
IEEE
151views VLSI» more  ISVLSI 2007»
14 years 1 months ago
Design of a MCML Gate Library Applying Multiobjective Optimization
In this paper, the problem of sizing MOS Current Mode Logic (MCML) circuits is addressed. The Pareto front is introduced as a useful analysis tool to explore the design space of e...
Roberto Pereira-Arroyo, Pablo Alvarado-Moya, Wolfg...
ASPDAC
2004
ACM
79views Hardware» more  ASPDAC 2004»
13 years 11 months ago
NSGA-based parasitic-aware optimization of a 5GHz low-noise VCO
Abstract--A parasitic-aware RF synthesis tool based on a nondominated sorting genetic algorithm (NSGA) is introduced. The NSGA-based optimizer casts the design problem as a multi-o...
Min Chu, David J. Allstot, Jeffrey M. Huard, Kim Y...
SIAMSC
2008
139views more  SIAMSC 2008»
13 years 7 months ago
Probing the Pareto Frontier for Basis Pursuit Solutions
The basis pursuit problem seeks a minimum one-norm solution of an underdetermined least-squares problem. Basis pursuit denoise (BPDN) fits the least-squares problem only approximat...
Ewout van den Berg, Michael P. Friedlander