Automated structural synthesis for nondeterministic loads
Computer Methods in Applied Mechanics and Engineering
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Discrete structural optimization
Evolutionary Design by Computers with CDrom
Evolutionary Design by Computers with CDrom
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms
The Ant Colony Metaphor for Searching Continuous Design Spaces
Selected Papers from AISB Workshop on Evolutionary Computing
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Multiobjective Satisfaction within an Interactive Evolutionary Design Environment
Evolutionary Computation
Conceptual designing: Chaos-based approach
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
International Journal of Computer Applications in Technology
Co-evolution of terrorist and security scenarios for water distribution systems
Advances in Engineering Software
Evolutionary computation and structural design: A survey of the state-of-the-art
Computers and Structures
Genetic programming for prediction of water flow and transport of solids in a basin
IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation: new challenges on bioinspired applications - Volume Part II
Bio-inspiration: learning creative design principia
EG-ICE'06 Proceedings of the 13th international conference on Intelligent Computing in Engineering and Architecture
Hi-index | 0.00 |
This paper provides an overview of the state of the art of evolutionary computation in civil engineering. First, it discusses the fundamentals of evolutionary computation in the context of a unified approach recently proposed by one of the authors. Second, it discusses the main research directions, including morphogenic design and co-evolutionary design. Next, it provides a description of the emerging evolutionary computation analysis, including an analysis in the context of complex adaptive systems and one based on the visualization of the gene pool and of the fitness function. Finally, the paper contains the conclusions and recommendations for the further research.