“…For example, Yang et al, [52] developed a web-based distributed high-through computation framework with parallel genetic algorithm modeling to reduce the computation time of simulation-based building energy optimization problems.…”
Section: Monolithic and Hybrid Genetic Algorithms (Ga) Employed On Bumentioning
confidence: 99%
“…Past research that focus on computational morphogenesis optimization methods provided us with many interesting hybrid algorithms in which many different methods have been combined to obtain the best optimum solution reducing the computational time. Examples of hybrid algorithms especially developed for building energy performance and computational morphogenesis optimization problems can be found on the literature and are based on web-based parallel genetic algorithms [52], modified simulated annealing algorithms [53], genetic algorithms coupled with artificial neural networks [54] or multi-linear regression meta-models [55], etc.…”
Section: Types Categorization and General Overview Of Main Optimizatmentioning
“…For example, Yang et al, [52] developed a web-based distributed high-through computation framework with parallel genetic algorithm modeling to reduce the computation time of simulation-based building energy optimization problems.…”
Section: Monolithic and Hybrid Genetic Algorithms (Ga) Employed On Bumentioning
confidence: 99%
“…Past research that focus on computational morphogenesis optimization methods provided us with many interesting hybrid algorithms in which many different methods have been combined to obtain the best optimum solution reducing the computational time. Examples of hybrid algorithms especially developed for building energy performance and computational morphogenesis optimization problems can be found on the literature and are based on web-based parallel genetic algorithms [52], modified simulated annealing algorithms [53], genetic algorithms coupled with artificial neural networks [54] or multi-linear regression meta-models [55], etc.…”
Section: Types Categorization and General Overview Of Main Optimizatmentioning
“…The GA based optimisation algorithm needs to generate hundreds of results to find the global optimum solution. In this context, simulation tools are not effective as they require high power computing and parallelisation for the optimisation algorithm [23]. Hence, the aim is to generate the best performing ANN to be utilised instead of a simulation tool.…”
“…Many distributed computing platforms, such as BOINC [34] , Hadoop [35] and HTCondor [36] , are now available. This study employs HTCondor for implementation because HTCondor is open-source and supports GPUs for distributed computing [37][38] .…”
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.