Optimization of control parameters for genetic algorithms
IEEE Transactions on Systems, Man and Cybernetics
Structural shape optimization — a survey
Computer Methods in Applied Mechanics and Engineering
A CAD-based design parameterization for shape optimization of elastic solids
Advances in Engineering Software
ALS Networking Essentials Plus
ALS Networking Essentials Plus
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Formal Engineering Design Synthesis
Formal Engineering Design Synthesis
Compact Unstructured Representations for Evolutionary Design
Applied Intelligence
An Analysis of the Interacting Roles of Population Size and Crossover in Genetic Algorithms
PPSN I Proceedings of the 1st Workshop on Parallel Problem Solving from Nature
GRID technology for structural analysis
Advances in Engineering Software
Essential windows communication foundation: for .net framework 3.5
Essential windows communication foundation: for .net framework 3.5
Advances in Engineering Software
Multimorphing: A tool for shape synthesis and analysis
Advances in Engineering Software
An enhanced approach for shape optimization using an adaptive algorithm
Finite Elements in Analysis and Design
NPV-based decision support in multi-objective design using evolutionary algorithms
Engineering Applications of Artificial Intelligence
Parameter control in evolutionary algorithms
IEEE Transactions on Evolutionary Computation
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Numerical optimization and especially topology and shape optimization are typically numerically very comprehensive due to implicit models, large number of variables, high non-linearity, possible infeasibility of candidate designs and related causes. It usually has to be implemented by coupling heterogeneous program environments such as evolutionary optimizers, computer-aided geometric modeling programs and simulators such as finite-element based analysis packages. This paper develops a workflow-based numerical system that serves the purpose of integrating, harmonizing and managing these distinct components in such a way that it provides the functionality needed for the inverse problem of evolutionary initial-stage topology- and shape synthesis. The approach based on inserting and optimizing holes is developed using chained piecewise Bezier curves and/or surfaces for shape parameterization. The procedure developed here employs existing off-the-shelf software packages for computer-aided design, finite element analysis and numerical optimization while building custom middle-ware programs and scripts. It also provides for parallel invoking of different and/or multiple simulators which reduces the optimization run-time by widening the critical bottle-necks in the overall process. The system is implemented inexpensively as an ad-hoc PC-based cluster where individual computers expose server programs and respective services which control locally installed simulators.