This project explores Bayesian Optimization as an alternative to traditional gradient-based and gradient-free methods for finding the global minimum of a function. The research is motivated by the ...
Abstract: This paper proposes a bi-level Multi-Start Variable Neighborhood Search-Genetic Algorithm (MSVNS-GA) for the heat pipe-constrained component layout optimization (HCLO) problems. The proposed ...
Abstract: This study proposed an optimization method for image compression using wavelet and Huffman coding with a v-variable. The optimization was conducted by dividing the low and low frequencies in ...
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