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OPTIMUS: Self-Adaptive Differential Evolution with Ensemble of Mutation Strategies for Grasshopper Algorithmic Modeling
(MDPI, 2019)
Most of the architectural design problems are basically real-parameter optimization problems. So, any type of evolutionary and swarm algorithms can be used in this field. However, there is a little attention on using ...
A simulation-based methodology for the analysis of the effect of lean tools on energy efficiency: An application in power distribution industry
(ELSEVIER SCI LTD, 2019)
In recent years, there has been an increasing interest in energy consumption in manufacturing systems due to the rising environmental awareness in society as well as the necessity of being cost-effective in the global ...
Performative computational architecture using swarm and evolutionary optimisation: A review
(PERGAMON-ELSEVIER SCIENCE LTD, 2019)
This study presents a systematic review and summary of performative computational architecture using swarm and evolutionary optimisation. The taxonomy for one hundred types of studies is presented herein that includes ...
Performative computational architecture using swarm and evolutionary optimisation: A review
(Building and Environment, 2019)
This study presents a systematic review and summary of performative computational architecture using swarm and evolutionary optimisation. The taxonomy for one hundred types of studies is presented herein that includes ...
A memetic algorithm for the bi-objective quadratic assignment problem
(Procedia Manufacturing, 2019)
Recently, multi-objective evolutionary algorithms (MOEAs) have been extensively used to solve multi-objective optimization problems (MOPs) since they have the ability to approximate a set of non-dominated solutions in ...