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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»
14 years 1 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 9 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 2 months 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 11 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
14 years 1 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