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» Optimization of Genetic Operators for Scheduling Problems
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GECCO
2005
Springer
122views Optimization» more  GECCO 2005»
15 years 3 months ago
An enhanced GA to improve the search process reliability in tuning of control systems
Evolutionary Algorithms (EAs) have been largely applied to optimisation and synthesis of controllers. In spite of several successful applications and competitive solutions, the st...
Andrea Soltoggio
GECCO
2005
Springer
197views Optimization» more  GECCO 2005»
15 years 3 months ago
Breeding swarms: a GA/PSO hybrid
Abstract. In this paper we propose a novel hybrid (GA/PSO) algorithm, Breeding Swarm, combining the strengths of particle swarm optimization with genetic algorithms. The hybrid alg...
Matthew Settles, Terence Soule
TWC
2008
235views more  TWC 2008»
14 years 9 months ago
Optimal spectrum sensing framework for cognitive radio networks
Spectrum sensing is the key enabling technology for cognitive radio networks. The main objective of spectrum sensing is to provide more spectrum access opportunities to cognitive r...
Won-Yeol Lee, Ian F. Akyildiz
DAC
2002
ACM
15 years 10 months ago
Energy estimation and optimization of embedded VLIW processors based on instruction clustering
Aim of this paper is to propose a methodology for the definition of an instruction-level energy estimation framework for VLIW (Very Long Instruction Word) processors. The power mo...
Andrea Bona, Mariagiovanna Sami, Donatella Sciuto,...
GECCO
2005
Springer
182views Optimization» more  GECCO 2005»
15 years 3 months ago
Improving EAX with restricted 2-opt
Edge Assembly Crossover (EAX) is by far the most successful crossover operator in solving the traveling salesman problem (TSP) with Genetic Algorithms (GAs). Various improvements ...
Chen-hsiung Chan, Sheng-An Lee, Cheng-Yan Kao, Hua...