Computational geometry in C (2nd ed.)
Computational geometry in C (2nd ed.)
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Evolutionary and Adaptive Computing in Engineering Design: The Integration of Adaptive Search Exploration and Optimization with Engineering Design Pro
Some Guidelines for Genetic Algorithms with Penalty Functions
Proceedings of the 3rd International Conference on Genetic Algorithms
Computational geometry.
Welfare economics applied to design engineering
EG-ICE'06 Proceedings of the 13th international conference on Intelligent Computing in Engineering and Architecture
Computer assistance for sustainable building design
EG-ICE'06 Proceedings of the 13th international conference on Intelligent Computing in Engineering and Architecture
Automated layout design of beam-slab floors using a genetic algorithm
Computers and Structures
Strategic Fire and Rescue Service decision making using evolutionary algorithms
Advances in Engineering Software
An automated stabilisation method for spatial to structural design transformations
Advanced Engineering Informatics
Automated design studies: Topology versus One-Step Evolutionary Structural Optimisation
Advanced Engineering Informatics
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When designing framed commercial buildings, achieving a satisfactory column layout is one of the primary objectives. Design systems to help designers with conceptual building design have, over the last decade, been developed using evolutionary algorithms. However, one limiting feature of the methods which have been developed is that the representation is limited to rectangular buildings. Most buildings are not rectangular and so this is a significant deficiency. A method of determining column layouts for orthogonal buildings is developed using the sweep line algorithm coupled to an adjacency graph. The method is tested on various examples and is shown to work well unless the building shape results in a large number of partitions.