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» Converging on the Optimal Attainment of Requirements
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ICANNGA
2007
Springer
134views Algorithms» more  ICANNGA 2007»
13 years 9 months ago
Optical Design with Epsilon-Dominated Multi-objective Evolutionary Algorithm
Significant improvement over a patented lens design is achieved using multi-objective evolutionary optimization. A comparison of the results obtained from NSGA2 and ε-MOEA is done...
Shaine Joseph, Hyung W. Kang, Uday K. Chakraborty
ICEC
1994
82views more  ICEC 1994»
13 years 9 months ago
Improving Search by Incorporating Evolution Principles in Parallel Tabu Search
Combinatorial optimization problems require computing efforts which grow at least exponentially with the problem dimension. Therefore, the use of the remarkable power of massively...
Ivan De Falco, Renato Del Balio, Ernesto Tarantino...
GECCO
2010
Springer
195views Optimization» more  GECCO 2010»
13 years 12 months ago
GPU-based island model for evolutionary algorithms
The island model for evolutionary algorithms allows to delay the global convergence of the evolution process and encourage diversity. However, solving large size and time-intensiv...
Thé Van Luong, Nouredine Melab, El-Ghazali ...
IJCNN
2006
IEEE
14 years 1 months ago
Relative Gradient Learning for Independent Subspace Analysis
Abstract— Independent subspace analysis (ISA) is a generalization of independent component analysis (ICA), where multidimensional ICA is incorporated with the idea of invariant f...
Heeyoul Choi, Seungjin Choi
MOBICOM
2006
ACM
14 years 1 months ago
Stochastic event capture using mobile sensors subject to a quality metric
Mobile sensors cover more area over a period of time than the same number of stationary sensors. However, the quality of coverage achieved by mobile sensors depends on the velocit...
Nabhendra Bisnik, Alhussein A. Abouzeid, Volkan Is...