Evolution and co-evolution of computer programs to control independently-acting agents
Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Data Structures, Algorithms, and Software Principles
Data Structures, Algorithms, and Software Principles
Supporting evolution in a multi-agent cooperative design environment
Advances in Engineering Software
A Representation for the Adaptive Generation of Simple Sequential Programs
Proceedings of the 1st International Conference on Genetic Algorithms
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A novel computational approach for stimulating creative idea emergence of designers is presented in this paper. It analyses the emerging process of designers' creative ideas first. Then, a tree structure based genetic algorithm is introduced. The algorithm relies upon the representation of tree structure rather than the representation of binary string in general genetic algorithm. The approach uses binary mathematical expression tree in the tree structure based genetic algorithm to generate 2D sketch shapes and 3D images. Finally, an artwork design example is illustrated to show the approach. General mathematical expressions are used to form 2D sketch shapes in flower vase design. The combination of general and complex function expressions is used to form 3D images in artistic flowers design. It is a preliminary exploration to stimulate human creative thinking by computational intelligence.