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Searching for solutions that optimize a continuous function can be difficult due to the infinite search space, and can be further complicated by the high dimensionality in the number of variables and complexity in the structure of constraints. Both deterministic and stochastic methods have been presented in the literature with a purpose of exploiting the search space and avoiding local optima as much...
We look at the complexity placed by big search spaces, dominated by the number of variables and domain of each variable, in search and optimization problems. While a large, even infinite, search domain impairs the effectiveness and efficiency of search, a complex structure of constraints further increases the difficulty in that the search space becomes highly irregular. We propose in this position...
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