...). The purpose of this paper is to present a model-based design methodology for improving the coefficient of performance (COP) of an EECS through prediction and genetic algorithm (GA) optimization. The evaluation process includes a concurrent analysis of entropy generation in both the current and optimized...

...–water nanofluid is selected as the working fluid of the jet for better heat transfer. The Standard k-e turbulence model is used for numerical calculation. The key structural parameters of the heat sink are optimized by the response surface method and a genetic algorithm. The effects of the jet Reynolds...

... increases with increasing the Reynolds number and slip coefficient. Afterwards, a non-parametric function estimation is performed relying on the artificial neural network. Originality/value Finally, the Genetic Algorithm was used to establish a set of optimal decision parameters for the problem...

... shape optimisation technique is used to design the heat sink fins. Non-dominated sorting genetic algorithm (NSGA-II) is combined with a geometric module to develop the shape optimiser. High-fidelity computational fluid dynamics (CFD) is used to evaluate the design objectives. Separate optimisations...

...Wei He; Seyed Amin Bagherzadeh; Mohsen Tahmasebi; Ali Abdollahi; Mehrdad Bahrami; Rasoul Moradi; Arash Karimipour; Marjan Goodarzi; Quang-Vu Bach Purpose This paper aims to present a black-box fuzzy system identification method coupled with genetic algorithm optimization approach to predict...

..., an optimization process is programmed based on the genetic algorithm. The optimal channel/fin widths and the corresponding thermal resistances of gallium- and water-based heat sinks are obtained and compared with/without a laminar flow constraint. The analytic model and CFD method are applied in different...

..., volume fraction of nanoparticles, type of nanoparticles and fluid inlet temperature on heat transfer efficiency. Originality/value After presenting the results derived from the fluid numerical simulation and finding the optimal performance conditions using a genetic algorithm, it was found that water...

...Heinrich Badenhorst Purpose The purpose of this paper is to apply two optimization methods to the issue of sensible energy store design. Design/methodology/approach This paper is a comparison of topology optimization and genetic algorithms. Findings Genetic algorithms are prone to converge...