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A structure-based coarse-fine approach for diversity tuning in cellular GAs
(Advances in Electrical and Computer Engineering, 2012)
General subpopulation framework and taming the conflict inside populations
(MIT PressCambridge, Mass, 2015)
Structured evolutionary algorithms have been investigated for some time. However,
they have been under explored especially in the field of multi-objective optimization.
Despite good results, the use of complex dynamics ...
Parallel evolutionary algorithms for scheduling on heterogeneous computing and grid environments
(UR. FI-INCO,, 2010)
This thesis studies the application of sequential and parallel evolutionary algorithms to the scheduling problem in heterogeneous computing and grid environments, a key problem when executing tasks in distributed computing ...
Parallel hyper-heuristics for process engineering optimization
(Pergamon-Elsevier Science Ltd, 2021-10)
This paper presents the general framework of a parallel cooperative hyper-heuristic optimizer (PCHO) to solve systems of nonlinear algebraic equations with equality and inequality constraints. The algorithm comprises the ...
Multiobjective parallel machine scheduling in the sawmill industry using memetic algorithms
(2014)
This study presents a multiobjective optimization algorithm that is termed memetic algorithm with compromise search (MACS). This algorithm, proposed by the authors, combines genetic evolution with local search, in the same ...
Optimized dynamic response of parallel operation of two single phase inverters based on evolutionary theory
(2010-09-20)
In this work it is proposed an optimized dynamic response of parallel operation of two single-phase inverters with no control communication. The optimization aims the tuning of the slopes of P-ω and Q-V curves so that the ...
Optimized dynamic response of parallel operation of two single phase inverters based on evolutionary theory
(2010-09-20)
In this work it is proposed an optimized dynamic response of parallel operation of two single-phase inverters with no control communication. The optimization aims the tuning of the slopes of P-ω and Q-V curves so that the ...