Genetic algorithms with sharing for multimodal function optimization
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
An Investigation of Niche and Species Formation in Genetic Function Optimization
Proceedings of the 3rd International Conference on Genetic Algorithms
A sequential niche technique for multimodal function optimization
Evolutionary Computation
Fitness sharing and niching methods revisited
IEEE Transactions on Evolutionary Computation
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Laminated tooling is based on taking sheets of metal and stacking them to produce the final product, after cutting each layer profile using laser or other techniques. CNC machining removes the extra material and brings the final product to specific tolerances. To reduce the cost of laminated dies manufacturing, the amount of the extra material and the number of slices must likewise be reduced. This is considered an optimization problem, which can be solved by genetic algorithms (G.A.). However, in most instances, premature convergence prevents the system from searching for a more optimal solution, a common problem in many G.A. applications. To address this problem, a new niching method is presented in this paper. Using the proposed method, results show not only a significant improvement in the quality of the optimum solution but also a substantial reduction in the processing time.