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Genetic algorithms evaluate potential solutions by evolving them over many generations and keeping the ones which work best each time.

Luke Fox: The goal of using the genetic algorithm was to create an optimal massing that prioritized the creation of a central public square and maximized views for the building's occupants.

1 Nanfang Hospital, Southern Medical University, Guangzhou, China 2 School of Medical Information Engineering, Guangzhou University of Chinese Medicine, Guangzhou, China 3 School of Biomedical ...

Finally, to solve the inverse problem, a genetic algorithm is applied to minimize the cost function (2.2). In addition to the advantages of meshless methods over domain discretization strategies, such ...

Solving Knapsack problem with both Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) with results comparison, using MATLAB. I created a graphic interface to make it easy to use and ...