(redirected from Multiobjective Evolutionary Algorithm)
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References in periodicals archive ?
Van Veldhuizen, Multiobjective Evolutionary Algorithms: Classifications, Analyses, And New Innovations, Air Force Institute of Technology, Wright-Patterson Air Force Base, Ohio, USA, 1999.
In recent time, the multiobjective evolutionary algorithms (MOEAs) have gained enormous attention in solving the engineering optimization problems with more than one objective.
For solution of the proposed BOO model, we propose a mix-variable multiobjective evolutionary algorithm (mv-MOEA) in which a candidate network configuration is represented with combination of binary variables indicating network connections and real variables of parameter values.
We then used these relations in the new surrogate-model-based multiobjective evolutionary algorithm GPDEMO.
Shiu, "A Multiobjective Evolutionary Algorithm That Diversifies Population by Its Density", IEEE Transactions on Evolutionary Computation, vol.
This paper explores a highly-efficient multiobjective optimization technique based on MOEA/D-GO (multiobjective evolutionary algorithm based on decomposition combined with enhanced genetic operators) for the multiobjective optimization of fragmented-type antenna, in which enhanced genetic operators are introduced.
Multiobjective evolutionary algorithms (MOEAs) have proved to be useful tools to solve multiobjective problems in various domains (Coello Coello, van Veldhuizen, and Lamont 2007).
(1) Normalized Multiobjective Evolutionary Algorithm based on Decomposition (NMOEA/D): The number of the weight vectors in the neighbourhood of each weigh vector is 20.
Bakhashwain, "Optimal VAR dispatch using a multiobjective evolutionary algorithm," International Journal of Electrical Power and Energy Systems, vol.
The main focus of this work was to experiment with a relatively conventional multiobjective evolutionary algorithm extended with special diversity maintenance mechanisms that allow it to adapt to changes in the enviroment.
This paper proposes a new multiobjective evolutionary algorithm based on an improved BH algorithm which adopts the mutation into the stars location update.