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This paper presents an automatic approach to a non-cryptographic hash function design based on grammar guided genetic programming. The paper describes how it is possible to design a non-cryptographic hash function, implementation issues such as terminal and nonterminal symbols, fitness measure, and used context-free grammar. The main aim of this paper is to link the expert knowledge in the design...
The design and optimization of a Yagi array of miniaturized monopoles top-loaded with Peano space-filling curves was presented. Unlike conventional Yagi arrays of dipoles and monopoles, the design of a Yagi-PTLM array requires the use of evolutionary programming (EP) optimization in order to determine the inter element spacing, element heights, and Peano top-load sizes for an array design with sufficient...
In this work, the authors investigate the efficiency of an evolutionary optimization approach that incorporates swarm directions in standard EP algorithm. Our hybrid EP-PSO approach is inspired by the work for test-function optimization. However, the authors have also investigated the use of various mutation operators in the hybrid EP-PSO technique. The technique is applied to two antenna problems:...
Evolution programming (EP) is an important category of evolutionary algorithms. It relies primarily on mutation operators to search for solutions of function optimization problems (FOPs). Recently a series of new mutation operators have been proposed in order to improve the performance of EP. One prominent example is the fast EP (FEP) algorithm which employs a mutation operator based on the Cauchy...
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