-
Book Overview & Buying
-
Table Of Contents
Hands-On Artificial Intelligence for IoT - Second Edition
By :
Natural optimization methods are powerful algorithms that draw inspiration from the efficient problem-solving strategies observed in nature. These methods mimic processes such as evolution, swarm behavior, and even physical laws to find optimal solutions in complex situations. A key advantage is that they often don’t rely on calculating derivatives of the objective function. This versatility makes them applicable to a wide range of problems involving discrete variables and non-continuous objective functions, scenarios where traditional optimization techniques might struggle.
Simulated annealing is a stochastic method. It is inspired by the physical process of annealing, in which a solid is first heated to a high enough temperature so that it melts, and then the temperature is decreased slowly; this allows the particles of the solid to arrange themselves in the lowest possible energy state and thus produce a highly structured...