57 search results - page 7 / 12 » Differential Evolution versus Genetic Algorithms in Multiobj... |
131
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GECCO
2000
Springer
15 years 6 months ago
2000
Springer
This paper explores the application of multiobjective Genetic Algorithms (mGAs) to rural land use planning, a spatial allocation problem. Two mGAs are proposed. Both share an unde...
134
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CEC
2010
IEEE
15 years 4 months ago
2010
IEEE
Many-objective problems are difficult to solve using conventional multi-objective evolutionary algorithms (MOEAs) as these algorithms rely primarily on Pareto ranking to guide the ...
113
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TEC
2011
14 years 10 months ago
2011
—Differential evolution (DE) is arguably one of the most powerful stochastic real-parameter optimization algorithms in current use. DE operates through similar computational step...
122
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TEC
2008
15 years 3 months ago
2008
Evolutionary Algorithms (EAs) are well-known optimization approaches to cope with non-linear, complex problems. These population-based algorithms, however, suffer from a general we...
134
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CEC
2010
IEEE
15 years 4 months ago
2010
IEEE
-- Design of non-uniform linear antenna arrays is one of the most important electromagnetic optimization problems of current interest. In this article, an adaptive Differential Evo...