Browsing Mechanical & Industrial Engineering by Subject "Genetic algorithm"
Now showing items 1-6 of 6
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A memetic algorithm for the bi-objective quadratic assignment problem
( Elsevier B.V. , 2019 , Conference Paper)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 ... -
An Efficient Heuristic for Pooled Repair Shop Designs
( Springer Verlag , 2019 , Conference Paper)An effective spare part supply system planning is essential to achieve a high capital asset availability. We investigate the design problem of a repair shop in a single echelon repairable multi-item spare parts supply ... -
Application of Metastructures for Targeted Low-Frequency Vibration Suppression in Plates
( Springer , 2022 , Article)Purpose We present an approach that combines finite element analysis and genetic algorithms to find the optimal configuration of local resonators created in the host structure to suppress their vibration in a target ... -
Comparative exergy, multi-objective optimization, and extended environmental assessment of geothermal combined power and refrigeration systems
( Institution of Chemical Engineers , 2021 , Article)In the present work a comparative exergy analysis, multi-objective optimization, as well as extended environmental analysis of a geothermal-based power and refrigeration system, is carried out. Different arrangements with ... -
Multi-objective optimisation of facility location decisions within integrated forward/reverse logistics under uncertainty
( Inderscience Publishers , 2016 , Article)Increasing interest to the environmental, social and economic aspects of the supply chains has motivated supply chain managers to optimise location-allocation decisions within closed-loop logistics networks. This paper ... -
Throughput optimization for the Robotic Cell Problem with Controllable Processing Times
( EDP Sciences , 2017 , Article)In this paper, we present a MIP-based heuristic and an effective genetic algorithm for the Robotic Cell Problem with Controllable Processing Times (RCPCPT). This problem arises in modern automated manufacturing systems and ...