Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms
Algorithms on strings, trees, and sequences: computer science and computational biology
Algorithms on strings, trees, and sequences: computer science and computational biology
A Distributed Genetic Algorithm with Migration for the Design of Composite Laminate Structures
A Distributed Genetic Algorithm with Migration for the Design of Composite Laminate Structures
Improving Genetic Algorithm Efficiency and Reliability in the Design and Optimization of Composite Structures
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Optimization of aircraft stiffened composite panels often results in manufacturing incompatibilities between adjacent panels. Using genetic algorithms to optimize local panel stacking sequences allows panel populations of stacking sequences to evolve in parallel and send migrants to adjacent panels, so as to blend the local panel designs globally. The blending process is accomplished using the edit distance between individuals of a population and the set of migrants from adjacent panels. The objective function evaluating the fitness of designs is modified according to the severity of mismatches detected between neighboring populations. This lays the ground work for natural evolution to a blended global solution without leaving the paradigm of genetic algorithms.