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We present an approach for measuring certain properties of synthetic optimization problems based on the assumed distribution of coefficient values.
In this paper, we present an approach for measuring certain properties of synthetic optimization problems based on the assumed distribution of coefficient ...
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An approach for measuring certain properties of synthetic optimization problems based on the assumed distribution of coefficient values and the impact of ...
Reilly, C.H. 1993. A comparison of alternative input models for synthetic optimization problems. In Proceedings of the 1993 Winter Simulation Conference, ed.
It is well-known that many instances of the 0-1 knapsack problem can be effectively solved to optimality also for very large values of n (the number of ...
In this paper, we describe and discuss alternative input models for the coefficients in synthetic optimization problems. Synthetic, or randomly generated, ...
The main advantages of synthetic test problems are threefold. First, they are easy to use. Since synthetic test problems are expressed by simple equations, they ...
Jan 7, 2024 · The most fundamental way to categorize them is by the mathematical properties of the objective functions and constraints. Based on these ...
In applied mathematics, test functions, known as artificial landscapes, are useful to evaluate characteristics of optimization algorithms.