The problem is that SGD is susceptible to local minimums and maximums. For that reason, DL systems are considered inappropriate for more complex and generalized optimization problems.

Examples of such an optimization problem include finding capacity in information theory, finding least favorable distributions in statistics and finding best and worst case arrival times in queuing ...

The goal of a numerical optimization problem is to find a vector of values that minimizes some cost function. The most fundamental example is minimizing the Sphere Function f (x0, x1, .. xn) = x0^2 + ...

For example, if you have a combinatorial optimization problem where the goal is to maximize some value, rather than minimize an error, you need to reverse the order of the terms in the numerator. The ...

The Ant Colony Optimization (ACO) algorithm is a metaheuristic nature-inspired technique for solving various combinatorial optimization problems. The shortest-path problem is an important ...

G. Gary Wang, Songqing Shan, Design Space Reduction for Multi-Objective Optimization and Robust Design Optimization Problems, SAE Transactions, Vol. 113, Section 5: JOURNAL OF MATERIALS AND ...