Knowledge-based optimum design
Knowledge-based optimum design
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Determining the structural layout of orthogonal framed buildings
Computers and Structures
Are evolutionary algorithm competitions characterizing landscapes appropriately
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Automatic building design with genetic algorithms and artificial neural networks (WIP)
Proceedings of the 2012 Symposium on Simulation for Architecture and Urban Design
Evolutionary algorithm characterization in real parameter optimization problems
Applied Soft Computing
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The beam-slab layout design task is an ill-defined problem. As a result, it is difficult to delegate this task to computers. This study proposes a new genetic algorithm to be used to perform this design task. First, a new coding scheme for beam-slab layouts is developed. After that, the beam-slab layout design problem is written as an optimization problem by establishing proper objective and constraint functions. To show the validity of the proposed algorithm, it is used to design beam-slab layouts of several floor plans. The obtained results show that the proposed technique is able to find good beam-slab layouts.