Before you can write an objective function, you need to understand the context and scope of your OR problem. This means identifying the relevant variables, parameters, constraints, and assumptions ...

In topology optimization, the optimal layout of the structure is obtained through an iterative update of the geometry. Since this update procedure utilizes the gradient of the objective function, it ...

Optimization problems concern exploration of the best possible solutions to a given problem. The feasible solutions are termed good or bad based on the respective values of the objective function. For ...

Objective functions—mathematical formulations that define what success looks like—provide this essential clarity. While common in traditional optimization, these structured targets are often ...

In this paper, based on Particle Swarm Optimization (PSO) algorithm to observe the different optimization results by changing the objective function. By comparing indicators of various types of ...