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» A Mean-Variance Optimization algorithm
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114
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ISCC
2006
IEEE
188views Communications» more  ISCC 2006»
15 years 6 months ago
Dejong Function Optimization by Means of a Parallel Approach to Fuzzified Genetic Algorithm
Genetic Algorithms are very powerful search methods that are used in different optimization problems. Parallel versions of genetic algorithms are easily implemented and usually in...
Ebrahim Bagheri, Hossein Deldari
CEC
2009
IEEE
15 years 7 months ago
Local search based evolutionary multi-objective optimization algorithm for constrained and unconstrained problems
Abstract— Evolutionary multi-objective optimization algorithms are commonly used to obtain a set of non-dominated solutions for over a decade. Recently, a lot of emphasis have be...
Karthik Sindhya, Ankur Sinha, Kalyanmoy Deb, Kaisa...
93
Voted
ACMSE
2005
ACM
15 years 6 months ago
A metaprogramming approach to generating optimized code for algorithms in linear algebra
an extended abstract for a poster that presents a new approach that employs metaprogramming to generate optimized code for algorithms in Linear Algebra. Categories and Subject Des...
Najaf A. Shah, Anthony Skjellum
75
Voted
GECCO
2007
Springer
142views Optimization» more  GECCO 2007»
15 years 7 months ago
Improving global numerical optimization using a search-space reduction algorithm
We have developed an algorithm for reduction of search-space, called Domain Optimization Algorithm (DOA), applied to global optimization. This approach can efficiently eliminate ...
Vinicius Veloso de Melo, Alexandre C. B. Delbem, D...
97
Voted
LATIN
2000
Springer
15 years 4 months ago
Worst-Case Complexity of the Optimal LLL Algorithm
In this paper, we consider the open problem of the complexity of the LLL algorithm in the case when the approximation parameter of the algorithm has its extreme value
Ali Akhavi