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GECCO
2004
Springer
103views Optimization» more  GECCO 2004»
15 years 5 months 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...
131
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GECCO
2008
Springer
168views Optimization» more  GECCO 2008»
15 years 22 days 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
101
Voted
ISVLSI
2007
IEEE
151views VLSI» more  ISVLSI 2007»
15 years 6 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»
15 years 3 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»
14 years 11 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