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» A fast and elitist multiobjective genetic algorithm: NSGA-II
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IFSA
2007
Springer
138views Fuzzy Logic» more  IFSA 2007»
13 years 11 months ago
Optimization to Manage Supply Chain Disruptions Using the NSGA-II
Disruption on a supply chain provokes lost that should be minimized looking for alternative suppliers. This solution involves a strategy to manage the impact of the disruption and ...
Víctor Serrano, Matías Alvarado, Car...
AHS
2006
IEEE
108views Hardware» more  AHS 2006»
13 years 7 months ago
A Multi-Objective Genetic Algorithm for On-Chip Real-time Adaptation of a Multi-Carrier Based Telecommunications Receiver
This paper presents a multi-objective algorithm for on-line adaptation of a multi-carrier code-division multiple access (MC-CDMA) receiver. A specially tailored Genetic Algorithm ...
Nasri Sulaiman, Ahmet T. Erdogan
CEC
2009
IEEE
14 years 12 days ago
Performance assessment of the hybrid Archive-based Micro Genetic Algorithm (AMGA) on the CEC09 test problems
— In this paper, the performance assessment of the hybrid Archive-based Micro Genetic Algorithm (AMGA) on a set of bound-constrained synthetic test problems is reported. The hybr...
Santosh Tiwari, Georges Fadel, Patrick Koch, Kalya...
EMO
2006
Springer
122views Optimization» more  EMO 2006»
13 years 9 months ago
Substitute Distance Assignments in NSGA-II for Handling Many-objective Optimization Problems
Many-objective optimization refers to optimization problems with a number of objectives considerably larger than two or three. In this paper, a study on the performance of the Fast...
Mario Köppen, Kaori Yoshida
SIES
2007
IEEE
13 years 12 months ago
Design Space Exploration with Evolutionary Multi-Objective Optimisation
— High level synthesis is one of the next major steps to improve the hw/sw co-design process. The advantages of high nthesis are two-fold. At first the level of abstraction is r...
Martin Holzer 0002, Bastian Knerr, Markus Rupp