Computational geometry: an introduction
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Computer Methods in Applied Mechanics and Engineering
Fractals everywhere
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Computer Methods in Applied Mechanics and Engineering
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
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Genetic programming II: automatic discovery of reusable programs
Genetic programming: an introduction: on the automatic evolution of computer programs and its applications
Region representation: boundary codes from quadtrees
Communications of the ACM
Evolutionary Design by Computers with CDrom
Evolutionary Design by Computers with CDrom
Numerical Optimization of Computer Models
Numerical Optimization of Computer Models
Polar IFS+Parisian Genetic Programming=Efficient IFS Inverse Problem Solving
Genetic Programming and Evolvable Machines
Formal Algorithms + Formal Representations = Search Strategies
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
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Proceedings of the European Conference on Genetic Programming
An Asymptotic Theory of Genetic Algorithms
AE '95 Selected Papers from the European conference on Artificial Evolution
Genetic Operators for Two-Dimensional Shape Optimization
AE '95 Selected Papers from the European conference on Artificial Evolution
Evolutionary algorithms for constrained parameter optimization problems
Evolutionary Computation
Evolving Objects: A General Purpose Evolutionary Computation Library
Selected Papers from the 5th European Conference on Artificial Evolution
Parameterized versus generative representations in structural design: an empirical comparison
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Black-box structural optimization of a mechanical component
Computers and Industrial Engineering
Evolutionary computation and structural design: A survey of the state-of-the-art
Computers and Structures
Direct and indirect representations for evolutionary design of objects
EA'07 Proceedings of the Evolution artificielle, 8th international conference on Artificial evolution
Structural and Multidisciplinary Optimization
Structural and Multidisciplinary Optimization
Ad-hoc cluster and workflow for parallel implementation of initial-stage evolutionary optimum design
Structural and Multidisciplinary Optimization
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This paper proposes a few steps to escape structured extensive representations for objects, in the context of evolutionary Topological Optimum Design (TOD) problems: early results have demonstrated the potential power of Evolutionary methods to find numerical solutions to yet unsolved TOD problems, but those approaches were limited because the complexity of the representation was that of a fixed underlying mesh. Different compact unstructured representations are introduced, the complexity of which is self-adaptive, i.e. is evolved by the algorithm itself. The Voronoi-based representations are variable length lists of alleles that are directly decoded into object shapes, while the IFS representation, based on fractal theory, involves a much more complex morphogenetic process. First results demonstrates that Voronoi-based representations allow one to push further the limits of Evolutionary Topological Optimum Design by actually removing the correlation between the complexity of the representations and that of the discretization. Further comparative results among all these representations on simple test problems seem to indicate that the complex causality in the IFS representation disfavors it compared to the Voronoi-based representations.